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关于医疗保健类论文范文检索,与金融文数据库北京市相关发表论文
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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5522.561546.461333.69713.31933.112392.632195.58520.9515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:
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