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題名	在缺失資料隨機散失的情形下各種插補方法效用之研究
作者	翁彰佑
貢獻者	金建輝翁彰佑
日期	1990 1989
上傳時間	3-May-2016 14:14:05 (UTC+8)
參考文獻	[l] Bailar, B. A. , Bailey, L. and Corby, C.A. (1978) :\r\n\"A Comparison of Some Adjustment and Weighting Procedures for Survey Data\" , Survey Sampling and Measurement , pp. 175 - 198 , New York: Academic Press.\r\n[2] Huang Elizabeth T. ( 1984)\r\n\"An Imputation Study for the Monthly Retail Trade Survey\" ,\r\nProceedings of the Section on Survey Research Methods , American Statistical Association, pp. 610 - 615.\r\n[3] Jinn, J. H. and Sedransk, J. (1987) :\r\n\"Effect on Secondary Data Analysis of Different Imputation Methods\", Proc. Third Annual Census Bureau Research Conference , pp. 509 - 530.\r\n[4] Jinn, J. H. and Sedransk, J. (1989) :\r\n\"Effect on Secondary Data Analysis of Common Imputation Methods\"，Sociological Methodology, vol. 19 , pp. 213 - 241.\r\n[5] Jinn, J. H. and Sedransk, J. (1989) :\r\n\"Effect on Secondary Data Analysis of The Use of Imputed Values The Case Where Hissing Data Are Not Hissing at Random\", Proceedings of the Section on Survey Research Methods American Statistical Association.\r\n[6] Kalton, G. and Kasprzyk, D. (1982)\r\n\"Imputing for Missing Survey Responses\", Proc. Sect. Survey Res. Meth, Amer. Statist. Assoc, PP. 22- 33.\r\n[7] Kalton, G. and Kasprzyk, D. (1986) :\r\n\"The Treatment of Missing Survey Data\", June 1986, vol. 12 , No.1, pp. 1-16. Statistics Canada\r\n[8] Kalton, G. and Kish , L. (1981) :\r\n\"Two Effect Random Imputation Procedures\" , Proc. Sect. Survey Res. Meth Amer. Statist. Assoc , pp. 146 - 151.\r\n[9] Michaud S. (1986):\r\n\"Weighting vs Imputation : A Simulation Study\", Proc. Sect. Survey Res. Meth, Amer Statist Assoc, PP. 316-320.\r\n[10] Platek, R., Singh, M. P. and Tremblay, V. (1978):\r\n\"Adjustment for Nonresponse in Surveys \", Survey Sampling and Measurement, pp. 157 - 174 , New York : Academic Press.\r\n[11] Sande, I. G. (1982):\r\n\"Imputation in Surveys : Coping With Reality\" , The American Statistician ,\r\nAugust 1982 , vol. 36 , No.3, part1 , PP. 145 - 152.\r\n[12] Santos , R. L. (1981 b):\r\n\"Effects of Imputation on Regression Coefficients\" , Proc. Sect. Survey Res. Meth., Amer, Statist, Assoc, pp.140 - 145
描述	碩士國立政治大學統計學系
資料來源	http://thesis.lib.nccu.edu.tw/record/#B2002005380
資料類型	thesis

dc.contributor.advisor	金建輝	zh_TW
dc.contributor.author (Authors)	翁彰佑	zh_TW
dc.creator (作者)	翁彰佑	zh_TW
dc.date (日期)	1990	en_US
dc.date (日期)	1989	en_US
dc.date.accessioned	3-May-2016 14:14:05 (UTC+8)	-
dc.date.available	3-May-2016 14:14:05 (UTC+8)	-
dc.date.issued (上傳時間)	3-May-2016 14:14:05 (UTC+8)	-
dc.identifier (Other Identifiers)	B2002005380	en_US
dc.identifier.uri (URI)	https://ah.lib.nccu.edu.tw/item?item_id=102023	-
dc.description (描述)	碩士	zh_TW
dc.description (描述)	國立政治大學	zh_TW
dc.description (描述)	統計學系	zh_TW
dc.description.tableofcontents	目錄\r\n第一章緒論\r\n第一節研究動機與目的……1\r\n第二節文獻回顧……2\r\n第二章相關符號之定義與各種插補法之簡介\r\n第一節相關符號之定義……3\r\n第二節插補方法之簡介……6\r\n第三章各種插補方法對統計量之影響\r\n第一節平均插補法 MO( Mean Imputation Overall ) ……7\r\n第二節隨機插補法RI ( Random Imputation Overall ) ……8\r\n第三節分層平均插補法MC ( Mean Imputation with Cells ) ……9\r\n第四節分層隨機插補法RC ( Random Imputation with Cells ) ……10。\r\n第五節簡單迴歸插補法RG ( Simple Regression Predication Imputation ) ……12\r\n第六節隨機迴歸插補法RRS. RRN ( Random Regression Imputation ) ……13\r\n第四章綜合比較方法及實證分析\r\n第一節綜合比較方法……15\r\n第二節資料來源……17\r\n第三節實證結果……20\r\n第五章結論與建議……22\r\n附錄……24\r\n參考文獻……90\r\n\r\n表目錄\r\n表4.3.1 SIC = 1 在不同的缺失率下，以各種插補法所求得的βoc 之期望值與其偏度……34\r\n表4.3.2 SIC = 1 在不同的缺失率下，以各種插補法所求得的β1c之期望值與其偏度……38\r\n表4.3.3 SIC = 4 在不同的缺失率下，以各種插補法所求得的βoc之期望值與其偏度……42\r\n表4.3.4 SIC = 4 在不同的缺失率下，以各種插補法所求得的β1c之期望值與其偏度…… 46\r\n表4.3.5 SIC = 1 在不同的缺失率下，以各種插補法所求得的σc之期望值與其偏度…… 50\r\n表4.3.6 SIC = 4 在不同的缺失率下，以各種插補法所求得的σc之期望值與其偏度……54\r\n表4.3.7 SIC = 1 在不同的缺失率下，以各種插補法所求得的βoc之變異數……58\r\n表4.3.8 SIC = 1 在不同的缺失率下，以各種插補法所求得的β1c之變異數…… 61\r\n表4.3.9 SIC = 4 在不同的缺失率下，以各種插補法所求得的βoc之變異數……64\r\n表4.3.10 SIC = 4 在不同的缺失率下，以各種插補法所求得的β1c之變異數……67\r\n表4.3.11 SIC = 1 在不同的缺失率下，以各種插補法所求得的Q12之值……70\r\n表4.3.12 SIC = 1 在不同的缺失率下，以各種插補法所求得的Q22之值……73\r\n表4.3.13 SIC = 4 在不同的缺失率下，以各種插補法所求得的Q12之值……76\r\n表4.3.14 SIC = 4 在不同的缺失率下，以各種插補法所求得的Q22之值……79\r\n圖目錄\r\n圖一 SIC = 1 E(βoc )的偏度與缺失率之關係圖…… 82\r\n圖二 SIC = 1 E(β1c)的偏度與缺失率之關係圖……82\r\n圖三 SIC = 4 E(βoc) 的偏度與缺失率之關係圖……83\r\n圖四 SIC = 4 E(β1c ) 的偏度與缺失率之關係圖……83\r\n圖五 SIC = 1 E(σc2) 與缺失率之關係圖…… 84\r\n圖六 S IC = 1 E(σc2) 的相對偏度與缺失率之關係圖……84\r\n圖七 SIC = 4 E(σc2) 與缺失率之關係圖……85\r\n圖八 SIC = 4 E(σc2) 的相對偏度與缺失率之關係圖……85\r\n圖九 SIC = 1 Var(βoc) 與缺失率之關係圖……86\r\n圖十 SIC = 1 Var(β1c) 與缺失率之關係圖……86\r\n圖十一 SIC = 4 Var(βoc) 與缺失率之關係圖…… 87\r\n圖十二 SIC = 4 Var(β1c)與缺失率之關係圖……87\r\n圖十三 SIC = 1 Q12 與缺失率之關係圖……88\r\n圖十四 SIC = 1 Q22 與缺失率之關係圖……88\r\n圖十五 SIC = 4 Q12 與缺失率之關係圖…… 89\r\n圖十六 SIC = 4 Q22 與缺失率之關係圖……89	zh_TW
dc.source.uri (資料來源)	http://thesis.lib.nccu.edu.tw/record/#B2002005380	en_US
dc.title (題名)	在缺失資料隨機散失的情形下各種插補方法效用之研究	zh_TW
dc.type (資料類型)	thesis	en_US
dc.relation.reference (參考文獻)	[l] Bailar, B. A. , Bailey, L. and Corby, C.A. (1978) :\r\n\"A Comparison of Some Adjustment and Weighting Procedures for Survey Data\" , Survey Sampling and Measurement , pp. 175 - 198 , New York: Academic Press.\r\n[2] Huang Elizabeth T. ( 1984)\r\n\"An Imputation Study for the Monthly Retail Trade Survey\" ,\r\nProceedings of the Section on Survey Research Methods , American Statistical Association, pp. 610 - 615.\r\n[3] Jinn, J. H. and Sedransk, J. (1987) :\r\n\"Effect on Secondary Data Analysis of Different Imputation Methods\", Proc. Third Annual Census Bureau Research Conference , pp. 509 - 530.\r\n[4] Jinn, J. H. and Sedransk, J. (1989) :\r\n\"Effect on Secondary Data Analysis of Common Imputation Methods\"，Sociological Methodology, vol. 19 , pp. 213 - 241.\r\n[5] Jinn, J. H. and Sedransk, J. (1989) :\r\n\"Effect on Secondary Data Analysis of The Use of Imputed Values The Case Where Hissing Data Are Not Hissing at Random\", Proceedings of the Section on Survey Research Methods American Statistical Association.\r\n[6] Kalton, G. and Kasprzyk, D. (1982)\r\n\"Imputing for Missing Survey Responses\", Proc. Sect. Survey Res. Meth, Amer. Statist. Assoc, PP. 22- 33.\r\n[7] Kalton, G. and Kasprzyk, D. (1986) :\r\n\"The Treatment of Missing Survey Data\", June 1986, vol. 12 , No.1, pp. 1-16. Statistics Canada\r\n[8] Kalton, G. and Kish , L. (1981) :\r\n\"Two Effect Random Imputation Procedures\" , Proc. Sect. Survey Res. Meth Amer. Statist. Assoc , pp. 146 - 151.\r\n[9] Michaud S. (1986):\r\n\"Weighting vs Imputation : A Simulation Study\", Proc. Sect. Survey Res. Meth, Amer Statist Assoc, PP. 316-320.\r\n[10] Platek, R., Singh, M. P. and Tremblay, V. (1978):\r\n\"Adjustment for Nonresponse in Surveys \", Survey Sampling and Measurement, pp. 157 - 174 , New York : Academic Press.\r\n[11] Sande, I. G. (1982):\r\n\"Imputation in Surveys : Coping With Reality\" , The American Statistician ,\r\nAugust 1982 , vol. 36 , No.3, part1 , PP. 145 - 152.\r\n[12] Santos , R. L. (1981 b):\r\n\"Effects of Imputation on Regression Coefficients\" , Proc. Sect. Survey Res. Meth., Amer, Statist, Assoc, pp.140 - 145	zh_TW