政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/90494

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113303/144284 (79%)
Visitors : 50809747 Online Users : 615

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Scope

please add "double quotation mark" for query phrases to get precise results

please goto advance search for comprehansive author search

Adv. Search

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

Goto mobile version

政大機構典藏 > 商學院 > 統計學系 > 學位論文 > Item 140.119/90494

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/90494

Title:	抽樣調查中關於缺失資料之各種補齊法性質之研究
Authors:	楊淑蘭
Contributors:	金建輝楊淑蘭
Date:	1989
Issue Date:	2016-05-04 14:24:05 (UTC+8)
Abstract:	論文摘要由於時代的急速變遷，人們所面臨的問題日趨複雜。在有限的人力與財力限制之下，欲對目標母體(target population) ，作一詳細的調查與研究通常是不可能的，因此如何藉由抽樣方法從母體中抽取具有代表性的樣本是重要的。在抽樣調查的過程中我們常常發現樣本回收率沒有原來預期的高，若我們只用回收的樣本去做資料分析，常常使我們作成的結果有偏誤(biased) 。本文的目的即在針對此一問題，做一深入的研究探討。在日常生活中經常會遇到所欲研究變數y與其另一輔助變數x有某種線性關係存在。例如農作物產量與種植面積、家庭收入與家庭支出、1980 年全市人口總數與1970 年全市人口總數等。為方便研究起見，首先假設一簡單的線性迴歸模式： Y 1 =βX 1 +ε1 ε1~i.i.d.N ( 0，σ2 ) 在上式中，若(X1，YI ) i=l , 2 , ......n 為一完整的資料集，即n個隨機樣本(X1 , Y1) 皆無缺失值，則β 與σ2 的最小平方估計式可以很快求出，現在假設y值有部份缺失值，則必須想辦法把缺失的y值補齊，才能進一步研究β 與σ2 的性質，本文即針對下列六種插補法， (a)平均插補法(10) 、(b)隨機插補法(R 0)、(c)分層平均插補法（MC）、(d)分層隨機插補法(RC) 、(e)簡單迴歸插補法(R G)及(f)隨機迴歸插補法(RRS，RRN)，根據所建立的模式，運用各種不同的插補法將缺失值予以補齊後，對模式結果作理論的探討，並對各種插補法作綜合分析比較。最後利用其理論結果，配合1986 年美國零售交易普查資料作實證研究，並分析其實證結果。
Reference:	參考文獻 [1] Afifi, A. A. and Elashoff, R. M. (1966): " Missing Observations in Multivariate Statistics I. Review of the Literature", Journal of the American Statistical Association, 61(1966), pp. 595-604. [2] Bailar, B. A. ,and Bailey L. and Corby C. (1978): " a Comparison of Some Adjustment and Weighting Procedures for Survey Data", Survey Sampling and Measurement , pp. 175-198, Hew York : Academic Press. [3] Dempster, A. P. , Laird, H. M. and Rubin, D. B. (1977) " Maximum Likelihood From Incomplete Data Via the EM algorithm" , J. R. Statist. Soc. , B. 39 , PP. 1-38. [4] Freedman, D. A. (1986): " A Case Study in Nonresponse: Plaintiff vs. California State Board of Equalization " , Journal of Business & Economic Statistics, January 1986, Vol. 4, NO 1 , pp. 123-124. [5] Hansen, M. H. and Hurwitz, W. N. (1946):" The Problem of Non-response in Sample Surveys", Journal of the American Statistician 41, PP. 517-529. [6] Herzog, T. N. and Lancaster, C. (1980) "Multiple Imputation of Individual Social Security Amounts, Part I ." , Proc. Sect. Survey Res. Meth. , Amer. Statist. Ass. ,1980, PP. 398-403. [7] Herzog, T. N. (1980): " Multiple Imputation of Individual Social Security Amounts, PartⅡ. ", Proc. Sect, Survey Res, Meth.,Amer,Statist,Ass. 1980,pp.404-407. [8] Huang Elizabeth T. (1984) "An Imputation Study for the Monthly Retail Trade Survey" , Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 610-615. [9] Huang Elizabeth T. (1986) "Comparison of the Different Imputation Procedures in the Monthly Retail Survey". Proceedings of the Section on Survey Research Methods. American Statistical Association. pp. 310-315. [10] Jinn J. H. and Sedransk J.:"Efeect on Secondary Data Analysis of Different Imputation Methods" , unpublished thesis. state university of New York at Albany, Dept. of Math. & Statistics. pp. 1-46. [11] Kaiser J. (1983):"The Effectiveness of Hot-Deck Procedures 1n Small Samples". Proceedings of the Section on Survey Research Methods. American Statistical Association. PP. 523-528. [12] Kalton. G. , Kasprzyk, D. and Santos. R. (1981): "Issues of Nonresponse and Imputation in the Survey of Income and Program Participation", Current Topics in Survey Sampling, pp. 455-480,New York: Academic Press. [13] Kalton, G. and Kasprzyk, D. (1982) "Imputing for Missing Survey Response", Proe. Sect. Survey Res. Meth., Amer. Statist. Assoc., pp. 22-33. [l4] Kalton, G.and Kasprzyk. D. (1986) "The Treatment of Hissing Survey Data" Survey Methodology,June 1986. Vol. 12, NO.1. pp. 1-16,Statistics Canada. [15] Kalton, G. and Kish, L. (1981) "Two Effect Random Imputation Procedures",Proc. Sect. Survey Res. Meth., Amer. Statist. Assoc.,pp. 146-151. [16] Kott, P.S. (1987) :"Nonresponse in a Periodic Sample Survey" , Journal of Business & Economic Statistics; April 1987, Vol 5, No.2, pp. 287-293. [17] Kovar, M. G. (1984) "Imputation in Small Surveys: The Effect on Small Domain Estimates", Proceeding of the Section on Survey Research Methods, American Statistical Association, PP. 628-633. [18] Lepkowski, J. M. , Stehouwer S. A. and Landis, J. R. (1983) : " Strategies for the Analysis of Imputed Data In a Sample Survey", Proceeding of the Section on Survey Research Methods, American Statistical Association, pp. 622-627. [19] Lievesley Denise (1983) :" Reducing Unit Nonresponse in Interview Surveys", Proceeding of the Section on Survey Research Methods, American Statistical Association, pp. 295-299. [20] Lusk, E. J. and Pagell,? R. A. (1985) :" Sampling and Non response : a Method for Deciding upon a Follow Up", Proceeding of the Section on Survey Research Methods, American Statistical Association, PP. 266-268. [21] Michaud S. (1986): "Weighting VS Imputation: a Simulation Study", Proceeding of the Section on Survey Research Methods, American Statistical Association, PP. 316-320. [22] Moser,C.A.and Kalton G.(1971):Survey Methods in Social Investigation, 2nd ed. London, Heinemann Educational, 1971. [23] Oh, H. L. and Scheuren F. (1980) " Estimating the Variance Impact of Missing CPS income deta" Proc. Sect. Survey Res. Meth. Amer. Statist. Ass. 1980 pp. 408-415. [24] Platek, R. , Singh, M. P. and Tremblay, V. (1978):" Adjustment for Nonresponse in Surveys "Sampling and Measurement, pp. 157-174, Academic Press. Survey New York: [25] Sande, I. G. (1979a) "A Personal View of Hot Deck Imputation Procedures " Survey Methodology, 5. pp. 238-258. [26] Sande. I. G. (1982): "Imputation in Surveys Coping With Reality" The American Statistician, August 1982. Vol. 36. Ho. 3. part 1. pp. 145-152. [27] Santos. R. L. (1981b): "Effects of Imputation on Regression Coefficients" , Proc. Sect. Survey Res. Meth. Amer. Statist. Ass . 1981. pp. 140-145. [28] Shih Wen-Fu P. (1983): "Nonresponses to Income Questions in Telephone Surveys", Proceeding of the Section on Survey Research Methods. American Statistical Association. pp. 283-288. [29] Scheiber , S. J. (1978): " A Comparison of Three Alternative Techniques for Allocating Unreported Social Security Income on the Survey of the Low Income Aged and Disabled", Proc. Sect. survey Res. Meth, Amer. Statist. Ass., 1978, pp.212-218. [30] Welniak . E. J. and Coder. J. F. (1980) "A Measure of the bias in the March CPS earnings Imputation system”, Proc. Sect, Survey Res ,Meth., Amer, Statist. Ass, 1980, pp.421-425
Description:	碩士國立政治大學統計學系
Source URI:	http://thesis.lib.nccu.edu.tw/record/#B2002005728
Data Type:	thesis
Appears in Collections:	[統計學系] 學位論文

Files in This Item:

File	Size	Format
index.html	0Kb	HTML2	254	View/Open

All items in 政大典藏 are protected by copyright, with all rights reserved.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

DSpace Software Copyright © 2002-2004 MIT & Hewlett-Packard / Enhanced by NTU Library IR team Copyright © - Feedback