金融文数据库北京市

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本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

ruc-6sigma.《应用多元统计分析》数据与有关程序下载

第2章

例2.3表2-1是五大钢铁公司反映经营状况的十大指标,为了比较国内钢铁公司与韩国蒲项钢铁公司的差距,下面做出韩国蒲项钢铁公司,宝钢,鞍钢,武钢,首钢五家钢铁公司的脸谱图.

表2-1

项目宝钢鞍钢武钢首钢浦项负债保障率2.892.952.341.853.12长期负债倍数5.169.156.072.636.96流动比率1.311.831.162.222.1资产利润率21.7117.3424.7711.8925.34收入利润率23.1711.3319.557.622.28成本费用利润率30.2312.7624.818.0528.52净利润比率1.790.91.71.091.3三年资产平均增长率1.487.2863.311.7613.18三年销售平均增长率20.0729.1952.8818.7724.16三年平均资本增长率11.0410.548.957.6317.51例2.4资料仍取我国35个上市公司的资料.常见的EXCEL就可画出很漂亮的雷达图.用EXCEL画雷达图的方法,比如仅对深能源和深南电两公司画雷达图,方法如下:

在EXCEL窗口中,输入资料格式如下:

公司简称净资产收益率%总资产报酬率%资产负债率%总资产周转率流动资产周转率已获利息倍数销售增长率%资本积累率%深能源A16.8512.3542.320.371.787.1845.7354.54深南电A2215.3046.510.761.7715.6748.1119.41例2.7考察2007年东,中,西部及东北地区城镇居民家庭平均每人全年购买的主要商品数量情况,选取以下八个指标,具体数据如下表.(数据摘自2007年中国统计年鉴)

项目东部地区中部地区西部地区东北地区鲜菜(千克)109.61127.17118.87125.74食用植物油(千克)8.7110.509.7310.93猪肉(千克)18.5117.5320.4414.19牛羊肉(千克)3.362.755.206.12鲜蛋(千克)10.9110.297.6513.53鲜奶(千克)19.1914.3418.7417.85水果(瓜果)(千克)61.0258.8153.2168.05煤炭(千克)29.7380.6360.3547.46附:MATLAB做星座图的程序

%每一行为一个样本,行数目代表样本数,列数目代表维数

X等于[109.618.7118.513.3610.9119.1961.0229.73

127.1710.517.532.7510.2914.3458.8180.63

118.879.7320.445.27.6518.7453.2160.35

125.7410.9314.196.1213.5317.8568.0547.46],

[row,col]等于size(X),

%1将数据变换为角度

Xmin等于min(X),%1*col

Xmax等于max(X),%1*col

Sita等于(X-ones(row,1)*Xmin)./(ones(row,1)*Xmax-ones(row,1)*Xmin)*pi,

%2适当的选取权重

w等于1/col,

%3每一点的路径

Xi等于cos(Sita),

Yi等于sin(Sita),

Uk等于w*cumsum(Xi,2),

Vk等于w*cumsum(Yi,2),

%4画一个半径为1的上半圆

i等于[0:pi/100:pi],

holdon,

plot(cos(i),sin(i)),

holdon,

plot([-1:1/100:1],0*[-1:1/100:1]),

%5画星座图

fori等于1:row

holdon,

plot(Uk(i,:),Vk(i,:),'.-'),

holdon,

plot(Uk(i,col),Vk(i,col),'*'),

end

第3章

如果把大学的多所食堂看作一种产品,通过一定范围的调查,主要有六种属性会较强的影响同学们对食堂的选择:饭菜质量,饭菜价格,服务态度,卫生状况,开放时间,食堂装修,属性及属性水平见表1.试利用联合分析方法分析食堂的各个属性对同学们的重要程度,并根据分析结果说明同学们最期盼的食堂应该具备那些特征(受测者的偏好顺序可自行调查).

表3.11食堂属性及属性水平的描述

水平

属性1231.饭菜质量好中差2.饭菜价格1.0元/半份1.5元/半份2.0元/半份3.服务态度好中差4.卫生状况好中差5.开放时间全天7:00~8:00

11:00~13:00

16:00~18:007:00~8:00

11:30~13:00

16:30~18:006.食堂装修好中差

第4章

6.在进行一项市场调查时,得到了关于375个家庭的户主受教育水平和年收入的资料.表4-19是这些资料按两种标准进行交叉分类的结果.试以0.05的显着性水平检验关于收入与受教育水平彼此独立的零假设.

表4-19

年收入

(美元)受教育水平合计少于8年8年~12年高中毕业大学肄业大学毕业少于3000

3000~4999

5000~7499

7500~9999

10000~14999

15000或更多10

14

9

7

3

27

10

25

9

8

33

7

13

38

14

84

4

18

44

18

101

2

3

6

62

1325

37

68

104

105

36合计4562839887375第5章

表5-2:2016年各地区城镇居民家庭平均每人全年消费性支出单位:元

地区食品衣着居住家庭设备用品及服务医疗保健交通和通信教育文化娱乐服务杂项商品和服务XX2X3X4X5X6X7X8北京5561.541571.741286.321096.571563.102293.232383.52704.24天津5005.091153.661528.28817.181220.921567.871608.97520.49河北3155.401137.221097.41574.84808.881062.31946.38304.28山西2974.761137.711250.87471.65769.79931.331041.91228.53内蒙古3553.481616.561028.19672.64869.711191.701383.53512.81辽宁4378.141187.411270.95507.40913.131295.701145.46533.29吉林3307.141259.621285.28510.49914.47954.961071.80425.30黑龙江3128.101217.04941.25494.49864.89749.05906.19321.95上海7108.621520.611646.191182.24755.293373.192874.54937.21江苏4544.641166.911042.10813.45794.631357.961799.75458.10浙江5522.561546.461333.69713.31933.112392.632195.58520.95等等等等等资料来源:中国统计年鉴2016.

服装标准例程序利用R软件,运行如下R程序便可计算相应的条件均值和条件协方差矩阵:

#均值向量

m等于matrix(c(154.98,83.39,70.26,61.32,91.52),nrow等于5,ncol等于1),

m,

#协方差矩阵

sigma等于matrix(c(29.66,6.51,1.85,9.36,10.34,

6.51,30.53,25.54,3.54,19.53,

1.85,25.54,39.86,2.23,20.70,

9.36,3.54,2.23,7.03,5.21,

10.34,19.53,20.70,5.21,27.36),5,5),

sigma,

#条件均值

x5等于85,

m1等于matrix(m[1:4,1],4,1)+matrix(sigma[1:4,5]*sigma[5,5]^(-1),4,1)%*%(x5-sigma[5,1]),

m1,

#条件协方差1(d[x1,x2,x3,x4|x5])

d1等于sigma[1:4,1:4]-matrix(sigma[1:4,5]*sigma[5,5]^(-1),4,1)%*%matrix(sigma[5,1:4],1,4),

d1,

#条件协方差2(d[x1,x2,x3|x4,x5])

d2等于d1[1:3,1:3]-matrix(d1[1:3,4]*d1[4,4]^(-1),3,1)%*%matrix(d1[4,1:3],1,3),

d2,

注:上面程序假定,可以根据实际情况更改的值以计算相应的条件均值.

利用R软件,运行如下的R程序便可计算出偏相关系数:

#均值向量

m等于matrix(c(154.98,83.39,70.26,61.32,91.52),nrow等于5,ncol等于1),

m,

#协方差矩阵

sigma等于matrix(c(29.66,6.51,1.85,9.36,10.34,

6.51,30.53,25.54,3.54,19.53,

1.85,25.54,39.86,2.23,20.70,

9.36,3.54,2.23,7.03,5.21,

10.34,19.53,20.70,5.21,27.36),5,5),

sigma,

#偏相关系数1(r[12.45])

r1等于d2[1,2]/sqrt(d2[1,1]*d2[2,2]),

r1,

#偏相关系数2(r[13.45])

r2等于d2[1,3]/sqrt(d2[1,1]*d2[3,3]),

r2,

#偏相关系数3(r[23.45])

r3等于d2[2,3]/sqrt(d2[2,2]*d2[3,3]),

r3,

例5.3以2016年我国各省,市,自治区的城镇居民人均消费支出为例进行说明.反映城镇居民消费支出状况的指标主要有食品,衣着,居住,家庭设备用品及服务,医疗保健,交通和通信以及教育文化娱乐服务等八项消费支出指标,数据如表5-3所示.我们对上述八个指标的均值和协方差进行估计.

表5-3:2016年各地区城镇居民家庭平均每人全年消费性支出单位:元

地区食品衣着居住家庭设备用品及服务医疗保健交通和通信教育文化娱乐服务杂项商品和服务XX2X3X4X5X6X7X8北京5561.541571.741286.321096.571563.102293.232383.52704.24天津5005.091153.661528.28817.181220.921567.871608.97520.49河北3155.401137.221097.41574.84808.881062.31946.38304.28山西2974.761137.711250.87471.65769.79931.331041.91228.53内蒙古3553.481616.561028.19672.64869.711191.701383.53512.81辽宁4378.141187.411270.95507.40913.131295.701145.46533.29吉林3307.141259.621285.28510.49914.47954.961071.80425.30黑龙江3128.101217.04941.25494.49864.89749.05906.19321.95上海7108.621520.611646.191182.24755.293373.192874.54937.21江苏4544.641166.911042.10813.45794.631357.961799.75458.10浙江5522.561546.461333.69713.31933.112392.632195.58520.95安徽3905.051010.61988.12579.59633.93920.771160.14325.82福建5078.851105.311300.10722.17540.631777.061453.18523.83江西3633.05969.58851.15623.17483.96872.57945.99337.91山东3699.421394.111247.04806.35799.791410.451277.43372.01河南3079.821141.76963.59633.32790.87915.12988.95324.03湖北3996.271099.16914.26604.40675.32890.121037.24260.74湖南3970.421090.72960.82674.84790.95971.051110.11376.62广东5866.91975.061748.16947.54836.392623.081936.38594.45广西4082.99772.28891.33603.84529.361376.031081.54290.04海南4226.90491.841106.39565.51536.401303.50930.87247.08重庆4418.341294.301096.82842.09878.251044.361267.03305.60四川4255.481042.45819.28590.51564.931121.45947.01338.03贵州3597.94851.50836.54525.70471.39871.15934.73260.27云南4272.291026.50739.20331.94606.861216.46732.95150.42西藏4262.771011.82634.94310.22317.08966.74419.59400.38陕西3586.131047.611007.68618.16862.70967.521281.58400.68甘肃3183.791022.62846.26546.23654.82817.17936.33301.40青海3315.94945.14802.73538.5

本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

4610.02787.63880.86311.72宁夏3352.831178.881069.15596.81816.871096.321043.72403.71新疆3235.771245.02781.90535.31643.481003.89812.36411.63工业增加值率总资产贡献率资产负债率流动资产周转次数工业成本费用利润率产品销售率(%)(%)(%)(次/年)(%)(%)煤炭开采和洗选业51.0414.6761.152.0112.4998.08石油和天然气开采业77.7246.5038.633.9877.7999.53黑色金属矿采选业43.5926.8948.322.4521.2597.52有色金属矿采选业42.5331.8347.912.8024.3997.43非金属矿采选业37.8821.4650.583.329.6897.84其他采矿业29.7828.1657.076.684.7298.63农副食品加工业26.5316.0856.803.995.6497.93食品制造业30.6615.8452.802.827.3997.51饮料制造业37.0619.1953.302.1610.3397.65烟草制品业77.2969.9124.741.6238.83100.41纺织业26.2311.2160.122.644.4697.81纺织服装,鞋,帽制造业29.8014.1455.222.785.2097.42皮革,毛皮,羽毛(绒)及其制品业28.7316.4756.623.115.5197.74木材加工及木,竹,藤,棕,草制品业29.2717.1753.263.506.2397.49家具制造业26.6711.6155.762.694.9797.73造纸及纸制品业27.5611.9758.812.496.7198.43印刷业和记录媒介的复制32.6811.7151.461.948.3697.70文教体育用品制造业26.429.8553.522.573.8297.58石油加工,炼焦及核燃料加工业17.3513.5356.584.861.2599.41化学原料及化学制品制造业27.3914.0555.252.747.5397.78医药制造业35.9414.5948.831.8410.9394.37化学纤维制造业19.649.1960.832.654.2697.23橡胶制品业27.7012.2058.472.725.6298.26塑料制品业26.3211.6356.192.445.4797.83非金属矿物制品业31.1714.2456.772.617.5697.67黑色金属冶炼及压延加工业26.7313.7060.963.036.4299.12有色金属冶炼及压延加工业24.8317.9458.423.397.1598.43金属制品业26.3012.7658.892.545.1297.97通用设备制造业27.7313.0359.632.047.1497.54专用设备制造业28.9612.0159.081.808.2297.19交通运输设备制造业25.6912.1762.942.006.8497.80电气机械及器材制造业25.2012.3660.882.255.6697.42通信设备,计算机及其他电子设备制造业20.208.5161.892.613.8698.25仪器仪表及文化,办公用机械制造业27.0012.7453.342.167.1298.39工艺品及其他制造业27.0913.8555.942.715.4597.44废弃资源和废旧材料回收加工业23.8117.0666.353.913.8898.51电力,热力的生产和供应业33.368.8558.163.488.1699.64燃气生产和供应业31.028.2956.252.226.97101.05水的生产和供应业45.913.0851.460.834.1997.51资料来源:中国统计年鉴2016

第6章

例6.11999年财政部,国家经贸委,人事部和国家计委联合发布了《国有资本金效绩评价规则》.其中,对竞争性工商企业的评价指标体系包括下面八大基本指标:净资产收益率,总资产报酬率,总资产周转率,流动资产周转率,资产负债率,已获利息倍数,销售增长率和资本积累率.下面我们借助于这一指标体系对我国上市公司的运营情况进行分析,以下数据为35家上市公司2016年年报数据,这35家上市公司分别来自于电力,煤气及水的生产和供应业,房地行业,信息技术业,在后面各章中也经常以该数据为例进行分析:

表6.1

行业股票代码净资产收益率总资产报酬率资产负债率总资产周转率流动资产周转率已获利息倍数销售增长率资本积累率电力,煤气及水的生产和供应业深南电A000037.611.2361.17.601.741.41-12.81-.01富龙热电000426-11.30-5.5648.89.13.76-.34-40.10-9.93穗恒运A000531-7.70-1.5370.25.572.70.61-29.45-7.15粤电力A000539.34-1.1554.84.482.42.5211.78-7.72韶能股份000601-2.95-1.2961.79.272.52.5315.77-4.67ST惠天000692-1.86-.8163.34.401.09.438.08-1.82城投控股60064912.288.4639.92.25.5740.2029.21-2.19大连热电6007191.58.9660.53.32.701.31-3.44.75华电能源600726.43.3377.63.402.391.0812.66-6.04国电电力6007951.26.2071.65.261.681.10-5.885.68房地行业大龙地产6001591.21.0961.63.04.051.84-57.90-.08金丰投资6006069.786.5146.07.20.316.22-51.99-8.40新黄浦6006386.815.9631.91.12.315.57-18.484.99浦东金桥6006399.026.1642.74.20.864.5140.624.75外高桥6006486.902.0978.11.702.477.0419.885.21中华企业60067514.316.8263.67.37.445.8933.9311.82渝开发A0005146.535.1431.61.14.404.42-15.566.64莱茵置业00055821.227.9573.67.44.521.04-13.1528.42粤宏远A000573-8.47-4.8444.12.14.24-3.90-26.72-7.81中国国贸6000078.406.2148.06.123.041.101.205.06万科A00000212.655.7767.44.37.3910.6215.388.93三木集团0006321.961.0580.12.88.951.74-11.30-9.55国兴地产0008382.972.2144.34.17.1730.65-74.763.06中关村0009319.691.7280.11.47.572.03-7.901.59信息技术业长城电脑0000661.01.3953.931.353.571.22-6.99-30.87南天信息0009489.486.6145.431.061.414.6215.13110.72同方股份6001003.572.6353.32.78.002.79-4.7726.72永鼎股份6001052.541.6971.91.42.631.8727.492.63宏图高科60012210.715.4257.491.772.123.2133.0311.23新大陆0009974.543.7431.88.861.097.4918.42-6.27方正科技6006014.423.1643.951.404.673.06-13.584.73复旦复华6006244.443.6849.44.53.853.1913.572.60

注:1.该表中数据均来自于合并会计报表,

2.除净资产收益率,资产负债率指标为直接取自会计年报外,其他各指标均是经过各企业年报提供数字计算而得,各指标的计算公司如下:

a.

b.

c.

d.

e.

f.

习题1今选取内蒙古,广西,贵州,云南,西藏,宁夏,新疆,甘肃和青海等9个内陆边远省份.选取人均GDP,第三产业比重,人均消费支出,人口自然增长率及文盲半文盲人口占15岁以上人口的比例等五项能够较好的说明各地区社会经济发展水平的指标.验证一下边远及少数民族聚居区的社会经济水平与全国平均水平有无显着差异.

边远及少数民族聚居区的社会经济水平发展的指标数据:

地区人均GDP三产比重人均消费人口增长文盲半文盲内蒙古506831.121418.2315,83广西407634.220409.0113.32贵州234229.8155114.2628.98云南435531.1205912.125.48西藏371643.5155115.957.97宁夏427037.3194713.0825.56新疆622935.4274512.8111.44甘肃345632.8161210..0428.65青海436740.9204714.4842.92数据来源:《中国统计年鉴》(1998).

5项指标的全国平均水平

μ0等于(6212.0132.8729729.515.78)/

4.大学本科生录取分数是区分两个大学教学水平与影响程度的重要标志之一,A和B是两所着名大学,在国内具有很高的影响力,下面是随机抽取两个大学各30名本科生的录取分数,试分析这两个学校的本科录取分数是否存在明显差异.

表:A与B学校录取分数

序号语文数学英语物理化学学校18586808681A28186818078A38685928293A47680888390A57488798480A68189869978A78576768683A87884768290A98289838789A108086859086A118586858089A128086857989A139086888585A148679858199A158390958590A168389848788A178194829085A188378918891A198888838776A207788949175A219282818784A228783789376A238382787579A248382798687A258480888676A268486908885A278779849794A288280948985A298583868887A307876878483A317670707977B327473677284B337472817681B347675758386B356876787671B367875747164B378776767968B386771767869B397172807368B407871777564B417870797973B427877687578B436680707880B447666767973B458076868275B467376776366B477671756972B487671707281B497279697483B507871707676B517277737577B527074787676B538174827372B547180737876B557181776876B567971877079B576179847868B588069727987B597376777569B607880857076B


第7章

表7.2地区农业总产值(数据读者可在ruc-6sigma.网下载).

地区x1x2y北京181.514.8100.6天津355.223.397.5河北4547.8303.41258山西1088.695.7281.7内蒙古2702.2116.7473.9辽宁1527.1119.9640.1吉林1613.7138.1518.1黑龙江2394.1150.9718.6上海237.314.4111.3江苏3817.7340.81291.1浙江1417.794.3654.8安徽3330.9285.7818.5福建949.7122571江西1831.4129.4510.5山东4790467.62034河南4864.1518.11790.4湖北2064.6285.8932.1湖南2690.4209.9947.7广东1317.8204.61109.2广西1519.8201.3711.9海南168.337.3179.6重庆618.179.1358.3四川2508.3220.91037.2贵州711.677.4335.5云南1485.4142.7559.3西藏162.64.225.5陕西1298.8147.3472.9甘肃1030.475.9362.9青海176.5736.4宁夏423.529.978.9新疆3204.3107.8595.8例7.2中国民航客运量的回归模型.为了研究我国民航客运量的变化趋势及其成因,我们以民航客运量作为因变量y,以国民收入,消费额,铁路客运量,民航航线里程,来华旅游入境人数为影响民航客运量的主要因素.y—民航客运量(万人),x1—国民收入(亿元),x2—消费额(亿元),x3—铁路客运量(万人),x4—民航航线里程(万公里),x5—来华旅游入境人数(万人).根据《1994年统计摘 要》获得1978-1993年统计数据,见表7.4

表7.4

年份yx1x2x3x4x51978231301018888149114.89180.921979298335021958638916.00420.391980343368825319220419.53570.251981401394127999530021.82776.711982445425830549992223.27792.4319833914736335810604422.91947.7019845545652390511035326.021285.2219857447020487911211027.721783.3019869977859555210857932.432281.95198713109313638611242938.912690.231988144211738803812264537.383169.481989128313176900511380747.192450.14199016601438496639571250.682746.201991217816557109699508155.913335.651992288620223129859969383.663311.5019933383248821594910545896.084152.70例7.3y表示某种消费品的销售额,x1表示居民可支配收入,x2表示该类消

本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

费品的价格指数,x3表示其他消费品平均价格指数.表7.7给出了某地区18年某种消费品销售情况资料,试建立该地区该消费品销售额预测方程.

表7.7

序号x1(元)x2(%)x3(%)(百万元)181.285.087.07.8282.992.094.08.4383.291.595.08.7485.992.995.59.0588.093.096.09.6699.996.097.010.37102.095.097.510.68105.395.697.010.99117.798.998.011.310126.4101.5101.212.311131.2102.0102.513.512148.0105.0104.014.213153.0106.0105.914.914161.0109.0109.515.915170.0112.0111.018.516174.0112.5112.019.517185.0113.0112.319.918189.0114.0113.020.5

例7.4为了研究国民收入及其影响因素的关系,分别选取国民收入指标:农林牧渔业,工业,建筑业,交通运输仓储邮电通信业,批发和零售贸易餐饮业影响因素全社会固定资产投资总额,年末在岗职工人数,资本形成总额,居民消费价格指数,电力消费量农林牧渔业(亿元)工业(亿元)建筑业(亿元)交通运输仓储邮电通信业(亿元)批发和零售贸易餐饮业(亿元)全社会固定资产投资总额(亿元)年末在岗职工人数(万人)资本形成总额(现价)(亿元)居民消费价格指数(1977年等于100)电力消费量(亿千瓦小时)y1y2y3y4y5x1x2x3x4x519801359.41996.5195.5205.0213.6910.910444.01599.7110.33006.319811545.62048.4207.1211.1255.7961.010940.01630.2113.13095.719821761.62162.3220.7236.7198.61230.411281.01784.2115.33280.119831960.82375.6270.6264.9231.41430.111515.02039.0117.63518.719842295.52789.0316.7327.1412.41832.911890.02515.1120.83777.619852541.63448.7417.9406.9878.42543.212358.03457.5132.04117.619862763.93967.0525.7475.6943.23120.612809.03941.9140.64507.019873204.34585.8665.8544.91159.33791.713214.04462.0150.94985.219883831.05777.2810.0661.01618.04753.813608.05700.2179.35466.819894228.06484.0794.0786.01687.04410.413742.06332.7211.55865.319905017.06858.0859.41147.51419.74517.014059.06747.0218.16230.419915288.68087.11015.11409.72087.05594.514508.07868.0225.56804.019925800.010284.51415.01681.82735.08080.114792.010086.3239.97589.219936882.114143.82284.72123.23090.713072.314849.015717.7275.28426.519949457.219359.63012.62685.94050.417042.114849.020341.1341.59260.4199511993.024718.33819.63054.74932.320019.314908.025470.1399.910023.4199613844.229082.64530.33494.05560.322913.514845.028784.9433.110764.3199714211.232412.14810.63797.26159.924941.114668.029968.0445.311284.4199814552.433387.95231.44121.36579.128406.212337.031314.2441.711598.4199914472.035087.25470.64460.36910.329854.711773.032951.5435.512305.2200014628.239047.35888.05408.67316.032917.711259.034842.8437.313471.4200115411.842374.66375.45968.37918.837213.510792.039769.4440.314633.5200216117.345975.27005.06420.38476.743499.910558.045565.0436.816331.5200316928.153092.98181.26644.39238.455566.610492.055963.0442.019031.6200420768.162815.19572.17694.210098.570477.410575.969168.4459.321971.4表7.11

编号货运总量

y(万吨)工业总产值x1(亿元)农业总产值x2(亿元)居民非商品支出x3(亿元)116070351.0226075402.4321065402.0426574423.0524072381.2622068451.5727578424.0816066362.0927570443.21025065423.09.在研究国家财政收入时,我们把财政收入按收入形式分为:各项税收收入,企业收入,债务收入,国家能源交通重点建设基金收入,基本建设贷款归还收入,国家预算调节基金收入,其他收入等.为了建立国家财政收入回归模型,我们以财政收入y(亿元)为因变量.自变量如下:x1——农业增加值(亿元),x2——工业增加值(亿元),x3——建筑业增加值(亿元),x4——人口数(万人),x5——社会消费总额(亿元),x6——受灾面积(万公顷).据《中国统计年鉴》获得1979—1998共20个年分的统计数据,见表7.12.由定性分析知,所选自变量都与变量y有较强的相关性,试做出一个较为理想的回归方程.

表7.12

年份农业

x1工业

x2建筑业

x3人口

x4最终消费

x5受灾面积

x6财政收入

y19781018.41607.0138.2962592239.1507601132.319791258.91769.7143.8975422619.4393701146.419801359.41996.5195.5987052976.1445301159.919811545.62048.4207.11000723309.1397901175.819821761.62162.3220.71016543637.9331301212.319831960.82375.6270.61030084020.5347101367.019842295.52789.0316.71043574694.5318901642.919852541.63448.7417.91058515773.0443702004.819862763.93967.0525.71075076542.0471402122.019873204.34585.8665.81093007451.2420902199.419883831.05777.2810.01110269360.1508702357.219894228.06484.0794.011270410556.5469902664.919905017.06858.0859.411433311365.2384702937.119915288.68087.11015.111582313145.9554703149.519925800.010284.51415.011717115952.1513303483.419936882.114143.82284.711851720182.1488304349.019949457.219359.63012.611985026796.0550405218.1199511993.024718.33819.612112133635.0458216242.2199613844.229082.64530.512238940003.9469897408.0199714211.232412.14810.612362643579.4534298651.1199814599.633429.85262.012481046405.9501459876.0表7.13

年份x1x2x3x4x5x6y1y2y3y4猪(毛重)生产价格指数(1977年为100)粮食产量(万吨)粮食零售价格指数(1977等于100)农村居民人均纯收入(元)乡村总人口数(万人)全国人均猪肉消费量(斤)肉猪出栏头数(万头)生猪年底存栏头数(万头)猪肉产量(万吨)出口活猪数量(万头)1978100.3030476.50101.30133.6079014.0015.3416110.0030129.00975.30246.281979124.7733211.50105.05160.2079047.0019.3218768.0031971.001001.35242.211980127.7732055.50108.72191.3079565.0022.3119861.0030543.001134.10246.281981128.0232502.00112.97223.4079901.0022.1519495.0029370.001188.42257.421982128.1535450.00113.19270.1080174.0023.5120063.0030078.001271.80264.961983127.7738727.50113.08309.8080734.0024.6920661.0029854.001316.10262.061984130.4540730.50112.85355.3080340.0026.0322047.0030679.001444.70249.241985157.9737910.80125.15397.6080757.0027.9823875.2033139.601654.70296.001986164.9339151.20136.79423.8081141.0028.8225721.5033719.101796.00310.001987195.6040473.30145.27462.6081626.0029.0026177.0032773.301834.90302.001988294.5839408.00165.76544.9082365.0029.8227570.3034221.802017.60303.001989325.5140754.90201.06601.5083164.0031.1229023.3035281.002122.80297.001990302.4044624.30191.41686.3184138.0029.0030991.0036240.802281.10300.001991292.1143529.30207.87708.6084620.0034.8832897.0036965.002452.30285.001992310.5244265.80258.39784.0084996.0036.4435170.0038421.002635.30290.001993355.5445648.80329.96921.6085344.0028.3037823.8039300.102854.40272.001994549.6744510.10490.651221.0085681.0027.3242103.2041461.503204.80270.001995637.6246661.80659.431577.7485947.0027.8248051.0044169.203648.40253.001996651.6450453.50708.891926.1085085.0028.8741225.2036283.603158.00240.001997717.4649417.10652.892090.1084177.0026.8446483.7040034.803596.30227.001998594.7751229.50632.652162.0083153.0027.7850215.1042256.303883.70219.001999506.7550838.60609.872210.3082038.0029.6151977.2043144.204005.60196.002000507.7646217.50549.492253.4280837.0030.0151862.3041633.603966.00203.002001522.4945263.70557.742366.4079563.0029.3053281.1041950.504051.70196.002002512.0445705.80549.932475.6078241.0033.9854143.9041776.204123.10188.002003526.8943069.50562.032622.2076851.0034.2155701.8041381.804238.60188.002004594.5446946.90710.962936.4075705.0032.6657278.5042123.404341.00197.002005580.1548402.20720.923254.9374544.0035.8260367.4043319.104555.30176.002006525.5649804.20738.943587.0473742.0035.4661207.3041850.404650.50172.002007766.5350160.30786.234140.3672750.0031.5856508.3043989.504287.80161.0010.为了分析影响生猪的原因,我们选取以下代表生猪生产的主要指标:Y1肉猪出栏头数(万头),Y2生猪年底存栏头数(万头),Y3猪肉产量(万吨),Y4出口活猪数量(万头).对生猪生产有影响的指标有:X1猪(毛重)生产价格指数(1977年为100),X2粮食产量(万吨),X3粮食零售价格指数(1977等于100),X4农村居民人均纯收入(元),X5乡村总人口数(万人),X6全国人均猪肉消费量(斤).X1在中国统计年鉴里,2002年以前统一使用的是收购价格指数,但02年以后为猪(毛重)生产价格指数,在一次关于公共交通的社会调查中,一个调查项目是"是乘坐公共汽车上下班,还是骑自行车上下班."因变量y等于1表示主要乘坐公共汽车上下班,y等于0表示主要骑自行车上下班.自变量x1是年龄,作为连续型变量,x2是月收入(元),x3是性别,x3等于1表示男性,x3等于0表示女性.调查对象为工薪族群体,数据见表8.3,试建立y与自变量间的Logistic回归.

表8.3

序号性别年龄月收入y序号性别年龄月收入y1018850015120100002021120001612512000302385011712713000402395011

本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

81281500050281200119130950160318500201321000070361500121133180008042100012213310000904695012313812000100481200024141150001105518001251451800112056210012614810000130581800127152150011411885002815618001

例.4某大学利用学生大学四年的平均学分和生管理才能测试分作为主要指标,判定申请者是否具有研究生保送资格.因变量表示申请者具有研究生保送资格,表示申请者不具有研究生保送资格.自变量表示平均学分,表示生管理才能测试分.试建立Logistic回归模型,并分析申请者是否具有研究生保送资格与平均学分和生管理才能测试分之间的关系.

表X1X2Y12.96596123.14473132.54466043.22482153.29527162.43425072.20474182.36531093.695051102.575421112.354060123.466931132.514120142.514580153.196631163.634471173.595881182.363990193.305631203.405531212.364820222.664200232.684140243.505721252.485330262.465091273.785911283.446921292.635040303.4852814.一个城市的居民家庭,按其有无割草机可分为两组,有割草机的一组记为,没有割草机的一组记为.从和分别随机抽取12个样品,调查两项指标:家庭收入,房前屋后土地面积.(参考文献[4])数据如下表:

表8.5割草机数据

:有割草机家庭:无割草机家庭($1000)(1000)($1000)(1000)20.09.225.09.828.58.417.610.421.610.821.68.620.510.414.410.229.011.828.08.836.79.616.48.8368.819.88.027.611.222.09.223.010.015.88.231.010.411.09.417.011.017.07.027.010.021.07.4

用作为二元被解释变量,有割草机的家庭用1表示,没有割草机的家庭用0表示,作为解释变量.试利用Logistic回归分析说明解释变量对被解释变量的影响.

第9章

例9.1若我们需要将下列11户城镇居民按户主个人的收入进行分类,对每户作了如下的统计,结果列于表9.1.在表中,"标准工资收入","职工奖金","职工津贴","性别","就业身份"等称为指标,每户称为样品.若对户主进行分类,还可以采用其他指标,如"子女个数","政治面貌"等,指标如何选择取决于聚类的目的.

表9.1某市2001年城镇居民户主个人收入数据

X1职工标准工资收入X5单位得到的其他收入

X2职工奖金收入X6其他收入

X3职工津贴收入X7性别

X4其他工资性收入X8就业身份X1X2X3X4X5X6X7X8540.000.00.00.00.06.00男国有1137.00125.0096.000.0109.00812.00女集体1236.00300.00270.000.0102.00318.00女国有1008.000.096.000.086.0246.00男集体1723.00419.00400.000.0122.00312.00男国有1080.00569.00147.00156.00210.00318.00男集体1326.000.0300.000.0148.00312.00女国有1110.00110.0096.000.080.00193.00女集体1012.0088.00298.000.079.00278.00女国有1209.00102.00179.0067.00198.00514.00男集体1101.00215.00201.0039.00146.00477.00男集体【例9.3】为了研究辽宁等5省份2000年城镇居民消费支出的分布规律,根据调查资料作类型划分.指标名称及原始数据见表9.3.资料来源中国统计年鉴(2000年).表9.32000年5个省市城镇居民平均每人全年消费性支出数据

X1食品支出(元/人)X5交通和通讯支出(元/人)

X2衣着支出(元/人)X6娱乐,教育和文化服务支出(元/人)

X3家庭设备,用品及服务支出(元/人)X7居住支出(元/人)

X4医疗保健支出(元/人)X8杂项商品和服务支出(元/人)X1X2X3X4X5X6X7X8辽宁1772.14568.25298.66352.20307.21490.83364.28202.50浙江2752.25569.95662.31541.06623.05917.23599.98354.39河南1386.76460.99312.97280.78246.24407.26547.19188.52甘肃1552.77517.16402.03272.44265.29563.10302.27251.41青海1711.03458.57334.91307.24297.72495.34274.48306.45例9.8城镇居民消费水平通常用表9.13中的八项指标来描述,八项指标间存在一定的线性相关.为研究城镇居民的消费结构,需将相关性强的指标归并到一起,这实际就是对指标聚类.原始数据列于表9.13.将原始数据录入SPSS,并依次点击"Analyze"→"Correlate"→"Bivariate",打开BivariateCorrelations对话框,把八个变量选入Variables栏中,单击"OK",得到这八个指标对应的相关系数,列于表9.14.

表9.132005年31个省,市,自治区城镇居民月平均消费数据

x1人均粮食支出(元/人)x5人均衣着支出(元/人)

x2人均副食支出(元/人)x6人均日用杂品支出(元/人)

x3人均烟,酒,饮料支出(元/人)x7人均水电燃料支出(元/人)

x4人均其他副食支出(元/人)x8人均其他非商品支出(元/人)x1x2x3x4x5x6x7x8北京21.30124.8935.4373.9893.0120.5843.97433.73天津21.50122.3929.0851.6455.0411.3054.88288.13河北18.2590.2124.4532.4462.487.4547.50178.84山西21.8466.3818.0531.3274.488.1934.97177.45内蒙古21.3767.0820.2835.2781.0710.9439.46182.20辽宁22.74115.8828.2142.4458.079.6348.65194.85吉林20.2288.9418.5435.6365.728.8150.29186.52黑龙江21.3375.5014.0029.5669.298.2442.08165.90上海21.13168.6940.8170.1274.3215.4650.90422.74江苏18.61122.5127.0742.5063.4715.3836.14240.92浙江19.96142.2443.3350.74101.7712.9253.44394.55安徽19.61107.1332.8535.7761.347.5334.60142.23福建25.56171.6522.3040.5357.1312.6054.03225.08江西18.75104.6815.5535.6151.8011.1836.27142.72山东18.2788.3419.0743.1972.9812.5942.16200.18河南19.0773.1818.0129.3864.518.9138.14155.45湖北18.76102.6721.8730.4764.3311.9942.14168.17湖南20.25104.4520.7238.1562.9812.6739.16213.56广东23.68173.3017.4343.5953.6616.8665.02385.94广西18.70131.3511.6932.0641.5410.8442.77178.51海南16.16139.9212.9823.5824.8710.7632.35144.21重庆18.18120.3926.1837.9468.1611.6438.48246.37四川18.53109.9521.4933.0450.9810.8833.96183.85贵州18.3392.4325.3832.1956.3214.0038.57144.82云南22.3099.0833.3632.0152.067.0432.85190.04西藏29.67146.9064.5154.3686.1014.7732.19193.10陕西20.0370.7519.7534.9553.2910.5538.20189.41甘肃18.6872.7423.7238.6962.419.6535.26170.12青海20.3375.6420.8833.8653.8110.0632.82171.32宁夏19.7570.2418.6736.7161.7510.0840.26165.22新疆21.0378.5514.3534.3364.989.8333.87161.67习题2.近几年,中国房地产业得到了长足的发展,但房地产价格的上涨一直饱受争议,甚至有逃离"北,上,广"的言论,这也从侧面反映了房地产价格的区域性特征,下表为2016年中国31个省,市,自治区房地产业的相关统计数据,试根据这些数据分别进行R型和Q型聚类分析.

表9.17中指标说明如下:

X1:房屋平均销售价格,X2:住宅平均销售价格,

X3:别墅,高档公寓平均销售价格,X4:经济适用房平均销售价格,

X5:办公楼平均销售价格,X6:商业营业用房平均销售价格

X7:其他平均销售价格,X8:商品房销售面积,X9:住宅销售面积

表9.17

省份X1X2X3X4X5X6X7X8X9北京1241811648195413813165541714864161335.371031.43天津6015559811107357197831033891951252.041135.35河北27792743637522083692391521022231.842128.86山西2355225357411466611528672545994.71893.10内蒙古24832265410416904822408026602396.372093.34辽宁37583575726520954783614938884091.163731.19吉林25072399617519323256368732131583.871435.73黑龙江28322642541417852804433030191486.571286.62上海8195811512792184711783661055292339.292007.48江苏40493802772919225906617225676091.865282.89浙江62626144942430929716744631802992.22480.74安徽29492808405817314596462721392785.832542.6福建43844498733423135386830316861625.671250.00江西21362022314110982840403920571727.61604.86山东29702851725618265601460124405507.645039.4河南23392138361813724367506519333191.982943.36湖北30012898619119005122486335131941.621821.31湖南23022113400713884212456419692655.512413.7广东595357236817238010554863052964852.284360.45广西28262634460118804959607729261768.041637.99海南5443544190581686583154615157372.44358.72重庆27852640632217514667543224892872.192669.93四川31573067793412665688452823973501.273247.32贵州2339212247381926367259672935908.2848.11云南26802441323014414860520330861643.081478.25西藏3202310335472133100004554120066.4962.08陕西29522821558916915571505631491513.011426.06甘肃1958185120821264289940082134624.66588.63青海2460238427681214327142462625147.89141.23宁夏2435221553451447372642431570514.81453.26新疆2240210036841333518441562434954.35886.35数据来源:国泰安经济金融研究数据库2016年分省数据

第10章

例距离判别案例为了研究2016年全国各地区城镇居民家庭人均消费支出情况,按人均收入,人均GDP以及消费支出将29个省,市,自治区(除天津和陕西以外)分为三种类型,设置group变量取值分别为1,2,3.试建立判别函数,判定天津,陕西分别属于哪个消费水平类型.判别指标及原始数据见表1-1.

解:本例中组数k等于,判别指标p等于8,各组中样本为:,待判样品个数为2.

总体协差阵的逆矩阵:

表-12016年31个省,市,自治区农村居民家庭平均每人生活消费支出

x1人均食品支出(元/人)x5人均交通和通信支出(元/人)

x2人均衣着支出(元/人)x6人均文教娱乐用品及服务支出(元/人)

x3人均住房支出(元/人)x7人均医疗保健支出(元/人)

x4人均家庭设备及服务支出(元/人)x8其他商品及服务支出(元/人)序号地区x1x2x3x4x5x6x7x8Group1上海7108.621520.611646.191182.24755.293373.192874.54937.2112广东5866.91975.061748.16947.54836.392623.081936.38594.4513北京5561.541571.741286.321096.571563.12293.232383.52704.2414浙江5522.

本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

561546.461333.69713.31933.112392.632195.58520.9515江苏4544.641166.911042.1813.45794.631357.961799.75458.116福建5078.851105.311300.1722.17540.631777.061453.18523.8327重庆4418.341294.31096.82842.09878.251044.361267.03305.628云南4272.291026.5739.2331.94606.861216.46732.95150.4229西藏4262.771011.82634.94310.22317.08966.74419.59400.38210四川4255.481042.45819.28590.51564.931121.45947.01338.03211海南4226.9491.841106.39565.51536.41303.5930.87247.08212广西4082.99772.28891.33603.84529.361376.031081.54290.04213湖北3996.271099.16914.26604.4675.32890.121037.24260.74214湖南3970.421090.72960.82674.84790.95971.051110.11376.62215安徽3905.051010.61988.12579.59633.93920.771160.14325.82216山东3699.421394.111247.04806.35799.791410.451277.43372.01217江西3633.05969.58851.15623.17483.96872.57945.99337.91218贵州3597.94851.5836.54525.7471.39871.15934.73260.27219辽宁4378.141187.411270.95507.4913.131295.71145.46533.29320内蒙古3553.481616.561028.19672.64869.711191.71383.53512.81321宁夏3352.831178.881069.15596.81816.871096.321043.72403.71322青海3315.94945.14802.73538.54610.02787.63880.86311.72323吉林3307.141259.621285.28510.49914.47954.961071.8425.3324新疆3235.771245.02781.9535.31643.481003.89812.36411.63325甘肃3183.791022.62846.26546.23654.82817.17936.33301.4326河北3155.41137.221097.41574.84808.881062.31946.38304.28327黑龙江3128.11217.04941.25494.49864.89749.05906.19321.95328河南3079.821141.76963.59633.32790.87915.12988.95324.03329山西2974.761137.711250.87471.65769.79931.331041.91228.5331天津5005.091153.661528.28817.181220.921567.871608.97520.492陕西3586.131047.611007.68618.16862.7967.521281.58400.68距离判别法无法在SPSS中直接实现,在R软件中运行如下程序,可得.

距离判别程序:

#读取数据(数据集为"城镇消费.csv")

a等于read.csv("d:/data/城镇消费.csv",header等于T),a,

names(a),attach(a),

a1等于a[1:5,],a1,

a2等于a[6:18,],a2,

a3等于a[20:29,],a3,

#计算协方差阵,逆矩阵,和各组均值

v等于cov(a[,3:10]),v,

v_1等于solve(v),v_1,

m等于mean(a[,3:10]),m,

m1等于mean(a1[3:10]),m1,

m2等于mean(a2[3:10]),m2,

m3等于mean(a3[3:10]),m3,

#计算与三组的距离

d1等于c(1:31),

i等于1

for(iin1:31)

{if(i<,等于31)

d1[i]等于as.matrix(a[i,3:10]-m1)%*%matrix(v_1,8,8)%*%matrix(t(a[i,3:10]-m1),8,1)

d1[i],

i等于i+1}

d1,

d2等于c(1:31),

j等于1,

for(jin1:31)

{if(j<,等于31)

d2[j]等于as.matrix(a[j,3:10]-m2)%*%matrix(v_1,8,8)%*%matrix(t(a[j,3:10]-m2),8,1)

d2[j],

j等于j+1

}

d2,

d3等于c(1:31),

k等于1

for(kin1:31)

{

if(k<,等于31)

d3[k]等于as.matrix(a[k,3:10]-m3)%*%matrix(v_1,8,8)%*%matrix(t(a[k,3:10]-m3),8,1)

d3[k],

k等于k+1

}

d3,

#预测及回判

s1等于c(1:31)

distance等于c(1:31)

z等于1,

for(zin1:31)

{

if(d1[z]等于等于min(d1[z],d2[z],d3[z]))

s1[z]等于1,

if(d2[z]等于等于min(d1[z],d2[z],d3[z]))

s1[z]等于2,

if(d3[z]等于等于min(d1[z],d2[z],d3[z]))

s1[z]等于3,

s1[z],

distance[z]等于min(d1[z],d2[z],d3[z]),

z等于z+1

}

s1,

#输出结果

output等于matrix(c(s,distance,s1),31,3),

row.name等于area,

col.name等于c("原始组","最小距离","预测组"),

dimnames(output)等于list(row.name,col.name),

output,

#预测精度

o等于1,

total等于0,

t1等于0,

t2等于0,

t3等于0,

for(oin1:29)

{

if(s1[o]等于等于s[o])

total等于total+1,

o+1

}

p等于total/29,

p,

注:为写程序方便,在录入数据时,将"地区"指标用其英文"area"代替,用"s"代替"Group"

习题4

为了研究我国地级市的城市管理效率,对我国67城市管理效率指数数据利用快速聚类法分为了3类,城市管理效率指数是反映一个城市综合管理水平的重要指标,包括经济效率标准指数,结构效率标准指数,社会效率标准指数,人员效率标准指数,发展效率标准指数和环境效率标准指数等几个指标.试利用fisher判别法和贝叶斯判别法,建立判别函数,判定宿州,广安等13个地级市分别属于哪个管理水平类型.判别指标及原始数据见表4-4.

表4-4:

编号城市综合效率标准指数经济效率标准指数结构效率标准指数社会效率标准指数人员效率标准指数发展效率标准指数环境效率标准指数groupx1x2x3x4x5x6x71三亚0.41580.21970.5470.45090.41360.24090.422912呼和浩特0.40040.36150.7800.09770.21030.26900.271713青岛0.38270.40510.5920.17350.42830.34740.218714张家界0.38030.09040.8380.23260.41910.12450.121815哈尔滨0.37910.22240.6810.14720.38300.22010.296016乌鲁木齐0.37580.29440.8630.17250.18670.19050.072517沈阳0.37530.37440.6970.06810.33380.31160.192318长沙0.37060.29150.6940.12940.36480.17230.258319济南0.36870.37910.6700.13970.25530.18900.2747110温州0.36310.25400.5880.24110.45430.28370.1864111南京0.36290.48030.6770.12840.35310.30470.0572112太原0.36240.30730.7220.14530.26790.22480.1646113台州0.35990.27110.5540.15860.53460.29040.2288114舟山0.35300.36120.6470.11570.23270.40040.1103115福州0.35200.25910.6030.19410.42980.23830.1871116常州0.30870.46290.5060.08970.47260.26990.0478117黑河0.30870.08120.6480.02210.30620.17160.2331118牡丹江0.30870.13240.7030.11290.37080.17630.0203119石家庄0.30830.21870.5490.30780.37030.18520.0534120肇庆0.30770.14570.5980.19780.49340.14850.0621121鞍山0.30750.34000.5620.05980.42680.18500.1278122贵阳0.30740.17730.6390.15520.25890.21770.0804123丽水0.30280.14690.5830.16200.37090.30690.0295124阳泉0.30240.18940.5490.24090.28440.24580.0862125晋中0.30180.13010.5140.31580.34940.19130.1181126镇江0.30150.39670.4990.16550.38910.23690.0648127定西0.29980.02880.5800.14550.43830.16970.1594128安康0.29900.06180.6210.09880.37840.14510.1608129湖州0.29750.30760.4820.17350.42700.27710.0589130西宁0.29740.13880.6580.08130.36740.19370.0407131固原0.29720.03610.5630.12370.48300.22170.1233132乌海0.29700.33950.4940.11780.24920.31580.1240133忻州0.29670.06780.6180.23260.27420.19600.0644134玉溪0.29620.19510.4240.25460.35760.30480.1497135黄山0.29540.13260.6630.10240.31090.15210.0695136吕梁0.29510.11930.3910.23300.27220.22630.3489137襄樊0.25710.12170.5390.08250.42580.13210.0423138通化0.25670.13010.5230.16550.31260.16920.0260139三明0.25580.17900.5050.10340.34650.20930.0249140株洲0.25580.17210.5080.09840.43960.12840.0411141梅州0.25080.08830.4780.06890.51160.17080.0577142伊春0.25570.10580.5280.08330.40160.16770.0439143潍坊0.25540.20500.4170.14660.38800.19120.1021144张掖0.25460.10380.4870.14600.33880.18600.0718145景德镇0.25430.15190.5170.11770.36150.15900.0323146白银0.25340.10480.4690.17920.34770.19570.0556147广州0.50120.65730.8120.28350.24240.44630.2903248厦门0.44520.52220.6280.26950.24440.66200.2020249珠海0.43530.54360.5910.36430.14010.67020.1728250东莞0.42800.41110.5840.20580.20520.93990.0967251威海0.38850.57140.4150.42330.36030.31130.3036252中山0.38300.43810.4980.27860.39210.58610.1039253宁波0.37820.53600.5650.16990.38290.42780.1357254无锡0.37600.75500.5470.11140.44280.42920.0550255天津0.37020.42880.5670.13370.28560.55710.1252256杭州0.36980.54040.6360.16420.26780.41050.0597257毫州0.35530.06080.5670.19701.00000.09770.1751358齐齐哈尔0.30890.09230.6400.09030.59770.17280.0426359茂名0.30030.16340.5340.10590.69530.13680.0895360巢湖0.29720.08690.5280.07280.85110.12300.0779361南通0.29480.23780.4850.13640.68830.13810.0768362贵港0.29410.05820.5380.14600.84150.11180.0208363六安0.29340.06070.5650.04470.81510.13270.0492364绵阳0.25760.10980.5010.07700.60450.09250.0518365柳州0.25560.18080.4780.085

本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

10.49850.17210.0288366达州0.25540.07350.4400.13620.70480.09920.0512367荆州0.25260.07080.5460.06440.49410.08920.046731宿州0.30020.06540.4950.14990.73930.14170.13682广安0.29820.07790.5140.05330.89370.09410.12403河池0.25080.06720.4720.10420.56740.17580.01954咸阳0.25140.10140.4890.13910.41980.14760.04745盘锦0.25120.40950.2400.25820.30260.23570.17016汉中0.25110.07360.5250.09460.39630.14120.05687佛山0.36360.52320.4870.17030.32890.55790.11598苏州0.35790.82080.4610.16670.37170.41970.06269东营0.29630.77130.2210.29470.24720.40650.115210保定0.25060.11610.4760.13840.46650.11590.057711宜春0.24980.08620.4280.09600.49800.12400.150112宝鸡0.24930.13220.4360.16910.49540.14080.046813衡阳0.24850.10480.5080.09750.45820.09280.0569n等于28,变量数p等于9.

表11-1

地区100固定资产原值实现值(%)100元固定资产原值实现利税(%)100元资金实现利税(%)100元工业总产值实现利税(%)100元销售收入实现利税(%)每吨标准煤实现工业产值(元)每千瓦时电力实现工业产值(元)全员劳动生产率(元/人.年)100元流动资金实现产值(元)北京(1)119.2930.9829.9225.9715.4821783.4121006296.7天津(2)143.9831.5930.2121.9412.2928524.2920254363.1河北(3)94.817.217.9518.149.3711672.0312607322.2山西(4)65.811.0811.0612.1516.848.821.6510166284.7内蒙(5)54.799.249.5416.866.278941.87564225.4辽宁(6)94.5121.1222.8322.3511.2814162.3613.386311.7吉林(7)80.4913.3613.7616.67.1413062.079400274.1黑龙江(8)75.8615.8216.6720.8610.3712672.269830267上海(9)187.7945.939.7724.4415.0943464.1131246418.6江苏(10)205.9627.6522.5813.427.8132024.6923377407.2浙江(11)207.4633.0625.7815.949.2838114.1922054385.5安徽(12)110.7820.720.1218.696.614682.2312578341.1福建(13)122.7622.5219.9318.348.3522002.6312164301.2江西(14)94.9414.714.1815.496.6916692.2410463274.4山东(15)117.5821.9320.8918.659.118202.817829331.1河南(16)85.9817.317.1820.127.6713061.8911247276.5湖北(17)103.9619.518.4818.779.1618292.7515745308.9湖南(18)104.0321.4721.2820.638.7212721.9813161309广东(19)136.4423.6420.8317.337.8529593.7116259334广西(20)100.7222.0420.921.889.6717322.1312441296.4四川(21)84.7314.3514.1716.937.9613102.3411703242.5贵州(22)59.0514.4814.3524.538.0910681.329710206.7云南(23)73.7221.9122.729.729.3814471.9412517295.8陕西(24)78.0213.1312.5716.839.1917312.0811369220.3甘肃(25)59.6214.0716.2423.5911.349261.1313084246.8青海(26)51.668.328.2616.117.0510551.319246176.49宁夏(27)52.958.258.8215.576.588341.1210406245.4新疆(28)60.2911.2613.1418.688.3910412.910983266首先标准化原始数据,标准化后的数据见11.2.

表11.2

0.4235231.3384051.5902821.6875562.2396340.4819710.9547461.2603710.0488050.9951991.4096491.6314530.6672281.0658731.1887581.8553941.1338441.200166-0.14352-0.271-0.10906-0.29487-0.00854-0.57821-0.45763-0.152790.49097-0.81499-0.98577-1.08721-1.811432.740046-1.79273-0.84655-0.56349-0.15927-1.06992-1.20067-1.303-0.61894-1.14919-0.86449-0.69303-1.00129-1.18752-0.150240.1868270.5837370.7710330.694243-0.3171-0.11989-2.27170.308902-0.47486-0.71949-0.7039-0.68477-0.82907-0.43245-0.4167-0.69238-0.34307-0.58206-0.43218-0.290780.393790.359408-0.47334-0.22224-0.62003-0.466192.0095833.0809562.9886561.3001862.0961332.7554331.6711712.9832842.1625242.4302940.9494850.548246-1.48989-0.582541.5557832.264781.6592991.9648512.4650251.5813351.002539-0.85187-0.041662.1944081.7530481.43671.5885780.2264810.1377740.199007-0.15562-1.02776-0.26257-0.25294-0.157670.8186910.5038680.3503370.172033-0.24423-0.383850.5050410.156444-0.227320.126834-0.14028-0.56298-0.64428-0.9658-0.99465-0.05179-0.24271-0.51352-0.337870.3839290.2814290.308322-0.16574-0.107890.1065570.3304330.725830.645294-0.34774-0.25932-0.218380.206435-0.63406-0.43245-0.60092-0.38161-0.301460.068569-0.00238-0.03382-0.13536-0.085810.1159940.279260.375190.2603510.070190.2277050.3636890.335558-0.24771-0.4681-0.50881-0.059580.2620850.8206170.4811450.299804-0.49995-0.567831.3009631.2617850.4616730.695579-0.006450.2942770.3097410.6520370.1018430.014276-0.35529-0.180720.043603-0.37669-0.60386-0.6457-0.60122-0.52735-0.42825-0.14036-0.30489-0.89101-0.97128-0.58868-0.620161.322972-0.47952-0.68202-1.18429-0.64022-1.51177-0.631610.2790930.5652822.636993-0.00486-0.28459-0.54975-0.167930.033199-0.53205-0.74635-0.87284-0.62654-0.074770.013227-0.40646-0.36109-1.27595-0.95809-0.63656-0.351821.084980.71632-0.83093-1.37875-0.07253-0.81645-1.14239-1.30812-1.48472-0.80883-0.86219-0.69566-1.19453-0.71829-2.03561-1.11252-1.3163-1.40522-0.94555-1.03512-0.92741-1.38899-0.52311-0.84073-0.94257-0.96475-0.79192-0.15815-0.36913-0.710340.432779-0.42603-0.48353例11.3全国重点水泥企业经济效益综合评价例.

利用主成分综合评价全国重点水泥企业的经济效益.原始数据(数据来自1984年中国统计年鉴)见表11.4.

表11.4

厂家编号

及指标固定资产利税率(%)资金利税率(%)销售收入利税率(%)资金利润率(%)固定资产产值率(%)流动资金周转天数(天)万元产值能耗(吨)全员劳动生产率(万元/人.年)1琉璃河16.6826.7531.8418.453.255528.831.752邯郸19.727.5632.9419.259.825532.922.873大同15.223.432.9816.2446.786541.691.534哈尔滨7.298.9721.34.7634.396239.281.635华新29.4556.4940.7443.6875.326926.682.146湘乡32.9342.7847.9833.8766.465032.872.67柳州25.3937.8236.7627.5668.186335.792.438峨嵋15.0519.4927.2114.216.137635.761.759耀县19.8228.7833.4120.1759.257139.131.8310永登21.1335.239.1626.5252.476235.081.7311工源16.7528.7229.6219.2355.765830.081.5212抚顺15.8328.0326.417.4361.196132.751.613大连16.5329.7332.4920.6350.416937.571.3114江南22.2454.5931.053767.956332.331.5715江油12.9220.8225.1212.5451.076639.181.83将指标"流动资金周转天数"和"万元产值能耗"取倒数,经标准化后的数据取名为"重点水泥厂".见表11.5

表11.5

x1x2x3x4x5x6x7x8-0.37675-0.35795-0.11356-0.36669-0.038791.1933471.426821-0.277120.088158-0.293880.050803-0.287320.3561571.1933470.2890352.253119-0.60458-0.622920.056779-0.581-0.42773-0.37328-1.3981-0.77413-1.82227-1.76431-1.68844-1.71997-1.172550.043644-1.00954-0.548221.5890961.9944361.2162772.1414281.287927-0.872792.164810.6039442.1248150.9099992.2980751.1681420.7553152.2116560.3012351.643150.964090.5176720.6215860.5421040.858711-0.09974-0.35411.259096-0.62767-0.9322-0.80537-0.7824-2.87137-1.6204-0.34791-0.277120.106631-0.197380.12103-0.191090.321892-1.10143-0.98378-0.096390.3082950.3104340.9801930.438921-0.085680.043644-0.20479-0.3223-0.36597-0.20212-0.44527-0.284350.1120930.6666361.046255-0.79672-0.5076-0.2567-0.9264-0.462930.4385130.1917320.330666-0.61599-0.39984-0.12223-0.01644-0.14545-0.20952-0.87279-0.70361-1.271140.4791711.844149-0.23161.47

本文是一篇医疗保健论文范文,关于医疗保健类毕业论文格式范文,关于金融文数据库北京市相关毕业论文格式模板范文。适合医疗保健及建筑业及城市管理方面的的大学硕士和本科毕业论文以及医疗保健相关开题报告范文和职称论文写作参考文献资料下载。

86810.844885-0.099740.435397-0.68377-0.95557-0.827-1.11766-0.94809-0.16984-0.50383-0.99239-0.096394.对2007年全国31个省市自治区经济发展基本情况的九项指标作主成分分析,数据如表11.8:表11.8

地区GDP(亿元)年末总人口(万人)财政收入(万元)固定资产投资(亿元)居民消费水平(元)居民消费价格指数商品零售价格指数职工平均工资(元)工业总产值(亿元)北京9353.3216331.5E+073907.218911102.4100.8458239648.38天津5050.40111554043902353.111957104.2103.23331210075.07河北13709.50694378911986884.75674104.7104.11974217054.78山西5733.35339359788702861.55525104.6104.2213157791.71内蒙古6091.12240549236154372.97062104.6103.6217945812.96辽宁11023.4942981.1E+077435.27965105.1104.42288218249.53吉林5284.69273032068923651.46675104.8103.3203716486.01黑龙江7065.00382444046892833.55986105.4105.6184816143.17上海12188.8518582.1E+074420.424260103.2102.44497622259.94江苏25741.1576252.2E+0712268.19659104.3102.92721253316.38浙江18780.4450601.6E+078420.412569104.2103.83081836073.93安徽7364.18611854369735087.55278105.3104.5216997945.17福建9249.13358169945774287.88772105.2104.32227712517.91江西5500.25436838985103301.94702104.8104.0181446194.18山东25965.9193671.7E+0712537.78075104.4103.62273449873.00河南15012.46936086208048010.15141105.4104.42063920442.21湖北9230.68569959035524330.46513104.8104.2195489601.52湖南9200.00635560655084154.86240105.6104.3210608464.08广东31084.4094492.8E+079294.312663103.7103.42965855252.86广西5955.65476841882652939.74987106.1104.8212514587.35海南1223.288451082935502.45552105.0103.8192201002.78重庆4122.51281644270003127.76545104.7103.7229654363.25四川10505.30812785086065639.85259105.9105.32108111047.04贵州2741.90376228513751488.84057106.4104.2202542520.36云南4741.31451448671462759.04553105.9104.4199124298.29西藏342.19284201612270.33215103.4101.74282041.36陕西5465.79374847523983415.05272105.1105.0209775692.33甘肃2702.40261719091071304.24274105.5104.4206573231.52青海783.61552567083482.84978106.6106.025318822.72宁夏889.20610800312599.85816105.4104.1257231070.71新疆3523.16209528586001850.84890105.5105.1212493296.61数据来源于国家统计局网站

第12章

例12.3中心城市的综合发展是带动周边地区经济发展的重要动力.在我国经济发展进程中,各个中心城市一直是该地区经济和社会发展的"引路者".因而,分析评价全国35个中心城市的综合发展水平,无论是对城市自身的发展,还是对周边地区的进步,都具有十分重要的意义.下面应用因子分析模型,选取反映城市综合发展水平的12个指标作为原始变量,运用SPSS软件,对全国35个中心城市的综合发展水平作分析评价.

1.原始数据及指标解释.我们选取了反映城市综合发展水平的12个指标,其中包括8个社会经济指标,分别为:—非农业人口数(万人),—工业总产值(万元),—货运总量(万吨),—批发零售住宿餐饮业从业人数(万人),—地方政府预算内收入(万元)

—城乡居民年底储蓄余额(万元),—在岗职工人数(万人),—在岗职工工资总额(万元).

4个城市公共设施水平的指标:—人均居住面积(平方米),—每万人拥有公共汽车数(辆),—人均拥有铺装道路面积(平方米),—人均公共绿地面积(平方米).

指标的选取参考了《中国城市统计年鉴》中指标的设置.数据来源于《中国城市统计年鉴(2004)》.数据见表12.1.

表12.1

x1x2x3x4x5x6北京830.83810363030671.14127.4592538864413910天津549.74404961033467915.38204529518253200石家庄331.331198150510008.488.0749342910444919太原222.63518320015248.112.433334736601300呼和浩特97.8124077944155.122057792554496沈阳440.61064361214635.747.381088914229575长春313.051511527010891.986.944597098313564哈尔滨454.5272150899517.824.9976360011536951上海1041.391.03E+086386135.22899285060546000南京391.672509381614804.687.62136478811336202杭州263.673202522616815.28.36150388814664200合肥160.1853486054640.843.393586943592488福州205.43128895738250.394.696745228762245南昌195.4641491694454.453.623140944828029济南297.211318542514354.46.67610547583525郑州249.7292704947846.918.7765873710484859武汉474.981334493816610.3413.5880436812855341长沙205.83533930410630.56.315989307048500广州493.324017832428859.4521.47274770737273276南宁167.9920837635893.094.953624354514961海口76.0520256433304.42.721225412843664成都386.23970097628798.28.0689575214944197贵阳165.2735694195317.555.754038553449487昆明205.34580957312337.867.076011017085278西安312.886386627939212.2164803712105607兰州175.5452154905580.83.72056604683830西宁105.1311489592037.151.24843971749293银川79.214648672127.171.651226051930771乌鲁木齐142.94311094312754.023.944091194203000大连297.481546864121081.476.6110540513101986宁波168.812630286213797.384.8139416210596339厦门83.74132016003054.822.837014563971559青岛329.962558869530552.66.7212016989084693深圳122.39524510376792.6610.84290837021994500重庆753.921588992832450.212.83161561818965569

x7x8x9x10x11x12北京434.15109893651517.38.5644.94天津174.53254148187.997.2317.45石家庄86.741067432187.238.2821.56太原74.55945212165.067.8820.58呼和浩特28.9407963183.818.9226.58沈阳101.71521548159.326.728.36长春89.712441671511.877.0318.75哈尔滨168.8321021651412.756.3418.51上海281.5176865111914.5712.9219.11南京87.911950742169.0612.13136.72杭州75.721867776178.936.523.19合肥37.885265771714.1115.7228.74福州71.31073262189.657.931.6南昌49.79692717177.377.6723.98济南78.381256160197.7710.6219.54郑州83.9911370561910.117.6317.77武汉136.081868350176.874.168.34长沙60.0410199241810.099.129.1广州182.1652470871711.1612.76178.76南宁50.79668976189.919.3235.12海口22.97340392205.097.0715.79成都124.031894496178.9510.1725.59贵阳54.53664234169.373.11105.35昆明73.3410454691515.334.4923.33西安113.731535896157.324.488.82兰州54.917406611510.336.311.22西宁20.63013641711.474.9214.2银川29.12393035159.2610.4

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