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題名 敏感性問題抽樣調查之研究
作者 林子淵
LIN, ZI-YUAN
貢獻者 童甲春
TONG, JIA-CHUN
林子淵
LIN, ZI-YUAN
關鍵詞 敏感性
隨機回應
日期 1992
1991
上傳時間 2-May-2016 15:17:30 (UTC+8)
參考文獻 中文部分
     [1]馬德人。”非抽樣誤差之推測與控喇之研究”。國立政治大學統計研究所碩士論文。民國七十一年六月。
     [2] “一九九一二屆國代進舉，中區大學生進舉觀察團進舉觀察報告"島嶼邊緣雜誌。第一卷第二期。86-90頁。唐山出版社。民國八十一年二月。
     二、英文部分
     [ 1 ] Abul-ela,et.al. (1967):
     “A Multi-proportions Randomized Response Model “,Journal of the American Statistical Association, Vol.62.pp. 990-1008.
     [2] Bellhouse.D.R. (1980):
     "Linear Models for Randomized Response Designs",Journal of the American Statistical Association. Vol.75.pp. 1001-1004.
     [3] Campbell.C. and Joiner.B.L. (1973):
     “How to Get the Answer Without Being Sure You`ve Asked the Question",The American Statistican, Vol.27, pp.229-231.
     [4] ChaudhurLA. (1987):
     “Randomized Response Surveys of Finite Populations: A Unified Approach With Quantitative Data”,Journal of Statistical Planning and Inference 15,pp. 157-165.
     [5] Cochran, W. G. (1977):
     “Sampling Techniques” 3rd ed .New York: John Wiley & Sons.
     [6] Dowling,T.A. and Shachtman,R.H. (1975):
     “On the Relative Efficiency of Randomized Response Model”
     Journal of the American Statistical Association, Vol.70,pp. 84-87.
     [7J Greenberg,B.G. et.al. (1969):
     “The Unrelated Question Randomized Response Model:
     Theoretical Framework “,Journal of the American Statistical Association, Vol.64,
     pp. 520-539.
     [8] Greenberg,B.G. et.al. (1971):
     “Application of Randomized Response Technique in Obtaining
     Quantitative Data “,Journal of the American Statistical Association, Vol.66,
     pp. 243-250.
     [9] Hubbard,M.L. et.al. (989):
     "Respondent Reactions to Item Count Lists and Randomized
     Response", Proceedings of the Section on Survey Research
     Methods, American Statistical Association, pp. 544-548.
     [10] Lanke,J. (1975):
     “On the Choice of the Unrelated Question in Simmon`s
     Version of Random Response",Journal of the American Statistical Association, Vol.70,pp . 80-83.
     [11] Marquis,K.H . et.al. (1986):
     "Response Bias and Reliability in Sensitive Topic Survey"
     Journal of the American Statistical Association, Vol.81,pp. 381-389.
     [12] Moors , J.J.A. (1971):
     "Optimization of the Unrelated Question Randimized Response
     Model", Journal of the American Statistical Association,Vol.66, pp. 627-629.
     [13] Nathan,G. and Sirken,M.G . ( 1988):
     “Cognitive Aspects of Randomized Response”, Proceedings
     of the Section on Survey Research Methods, American Statistical
     Association, pp. 173-178.
     [14] Pollock,K.H. and Bek,Y. (1976):
     “A Comparison of Three Randomized Response Models for
     Quantitative Data”, Journal of the American Statistical Association, Vol.71, pp. 884-886.
     [15] Schmeidler.J. (1987):
     "Assessing Quality of Randomized Response :Were
     Instructions Followed? ",
     Proceedings of the Section on Survey Research Methods,
     American Statistical Association. pp. 245-249.
     [16] Sengupta, S. and Kundu. D. (1989):
     "Estimation of Finite Population Mean in Randomized
     Response Surveys". Journal of Statistical Planning and
     Inference 23. pp. 117-125.
     [17] Stem,D.E. and SteinhorsLR.K. (1984):
     "Telephone Interview and Mail Questionnaire Applications
     of the Randomized Response Model".
     Journal of the American Statistical Association. Vol.79.
     pp. 555-564.
     [18] Tamhane.A.C. (1981):
     "Randomized Response Techniques for Multiple Sensitive
     Attributes " , Journal of the American Statistical Association.
     Vol.76. pp. 916-923.
     [19] Tommy Wright (1983):
     "Statistical Methods and Improvement of Data Quality".
     Academic Press. Inc. pp. 99-114.
     [20] Tracy,P.E. and Fox,J.A. (981):
     “The Validity of Randomized Response for Sensitive
     Measurements", American Sociological Review. Vol.46,pp. 187-200.
     [21] Warner,S.L. (1955):
     "Randomized Response :A Survey Technique for Eliminating
     Evasive Answer Bias".
     Journal of the American Statistical Association, Vol.50,pp. 53-59.
     [22] Warner,S.L. (1971):
     “The Linear Randomized Response Model".
     Journal of the American Statistical Association. Vol.56,pp. 884-888.
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/#B2002004653
資料類型 thesis
dc.contributor.advisor 童甲春zh_TW
dc.contributor.advisor TONG, JIA-CHUNen_US
dc.contributor.author (Authors) 林子淵zh_TW
dc.contributor.author (Authors) LIN, ZI-YUANen_US
dc.creator (作者) 林子淵zh_TW
dc.creator (作者) LIN, ZI-YUANen_US
dc.date (日期) 1992en_US
dc.date (日期) 1991en_US
dc.date.accessioned 2-May-2016 15:17:30 (UTC+8)-
dc.date.available 2-May-2016 15:17:30 (UTC+8)-
dc.date.issued (上傳時間) 2-May-2016 15:17:30 (UTC+8)-
dc.identifier (Other Identifiers) B2002004653en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/89242-
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 第一章緒論
     第一節研究動機與目的．．．．．．．．．．1
     第二節文獻回顧．．．．．．．．．．2
     第三節本文結構．．．．．．．．．．4
     第二章隨機回應模式
     第一節WARNER模式．．．．．．．．．．5
     第二節無關問題模式．．．．．．．．．．12
     第三節數量資料模式．．．．．．．．．．24
     第三章評估與改良
     第一節隨機回應的調查品質．．．．．．．．．．28
     第二節其它方式的改良．．．．．．．．．．30
     第四章實例研究．．．．．．．．．．32
     第五章結論與建議．．．．．．．．．．35
     參考文獻．．．．．．．．．．37		zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002004653en_US
dc.subject (關鍵詞) 敏感性zh_TW
dc.subject (關鍵詞) 隨機回應zh_TW
dc.title (題名) 敏感性問題抽樣調查之研究zh_TW
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 中文部分
     [1]馬德人。”非抽樣誤差之推測與控喇之研究”。國立政治大學統計研究所碩士論文。民國七十一年六月。
     [2] “一九九一二屆國代進舉，中區大學生進舉觀察團進舉觀察報告"島嶼邊緣雜誌。第一卷第二期。86-90頁。唐山出版社。民國八十一年二月。
     二、英文部分
     [ 1 ] Abul-ela,et.al. (1967):
     “A Multi-proportions Randomized Response Model “,Journal of the American Statistical Association, Vol.62.pp. 990-1008.
     [2] Bellhouse.D.R. (1980):
     "Linear Models for Randomized Response Designs",Journal of the American Statistical Association. Vol.75.pp. 1001-1004.
     [3] Campbell.C. and Joiner.B.L. (1973):
     “How to Get the Answer Without Being Sure You`ve Asked the Question",The American Statistican, Vol.27, pp.229-231.
     [4] ChaudhurLA. (1987):
     “Randomized Response Surveys of Finite Populations: A Unified Approach With Quantitative Data”,Journal of Statistical Planning and Inference 15,pp. 157-165.
     [5] Cochran, W. G. (1977):
     “Sampling Techniques” 3rd ed .New York: John Wiley & Sons.
     [6] Dowling,T.A. and Shachtman,R.H. (1975):
     “On the Relative Efficiency of Randomized Response Model”
     Journal of the American Statistical Association, Vol.70,pp. 84-87.
     [7J Greenberg,B.G. et.al. (1969):
     “The Unrelated Question Randomized Response Model:
     Theoretical Framework “,Journal of the American Statistical Association, Vol.64,
     pp. 520-539.
     [8] Greenberg,B.G. et.al. (1971):
     “Application of Randomized Response Technique in Obtaining
     Quantitative Data “,Journal of the American Statistical Association, Vol.66,
     pp. 243-250.
     [9] Hubbard,M.L. et.al. (989):
     "Respondent Reactions to Item Count Lists and Randomized
     Response", Proceedings of the Section on Survey Research
     Methods, American Statistical Association, pp. 544-548.
     [10] Lanke,J. (1975):
     “On the Choice of the Unrelated Question in Simmon`s
     Version of Random Response",Journal of the American Statistical Association, Vol.70,pp . 80-83.
     [11] Marquis,K.H . et.al. (1986):
     "Response Bias and Reliability in Sensitive Topic Survey"
     Journal of the American Statistical Association, Vol.81,pp. 381-389.
     [12] Moors , J.J.A. (1971):
     "Optimization of the Unrelated Question Randimized Response
     Model", Journal of the American Statistical Association,Vol.66, pp. 627-629.
     [13] Nathan,G. and Sirken,M.G . ( 1988):
     “Cognitive Aspects of Randomized Response”, Proceedings
     of the Section on Survey Research Methods, American Statistical
     Association, pp. 173-178.
     [14] Pollock,K.H. and Bek,Y. (1976):
     “A Comparison of Three Randomized Response Models for
     Quantitative Data”, Journal of the American Statistical Association, Vol.71, pp. 884-886.
     [15] Schmeidler.J. (1987):
     "Assessing Quality of Randomized Response :Were
     Instructions Followed? ",
     Proceedings of the Section on Survey Research Methods,
     American Statistical Association. pp. 245-249.
     [16] Sengupta, S. and Kundu. D. (1989):
     "Estimation of Finite Population Mean in Randomized
     Response Surveys". Journal of Statistical Planning and
     Inference 23. pp. 117-125.
     [17] Stem,D.E. and SteinhorsLR.K. (1984):
     "Telephone Interview and Mail Questionnaire Applications
     of the Randomized Response Model".
     Journal of the American Statistical Association. Vol.79.
     pp. 555-564.
     [18] Tamhane.A.C. (1981):
     "Randomized Response Techniques for Multiple Sensitive
     Attributes " , Journal of the American Statistical Association.
     Vol.76. pp. 916-923.
     [19] Tommy Wright (1983):
     "Statistical Methods and Improvement of Data Quality".
     Academic Press. Inc. pp. 99-114.
     [20] Tracy,P.E. and Fox,J.A. (981):
     “The Validity of Randomized Response for Sensitive
     Measurements", American Sociological Review. Vol.46,pp. 187-200.
     [21] Warner,S.L. (1955):
     "Randomized Response :A Survey Technique for Eliminating
     Evasive Answer Bias".
     Journal of the American Statistical Association, Vol.50,pp. 53-59.
     [22] Warner,S.L. (1971):
     “The Linear Randomized Response Model".
     Journal of the American Statistical Association. Vol.56,pp. 884-888.		zh_TW