1. NCCU Academic Hub
  2. Publications
  3. College of Commerce
  4. Theses
  5. Item

Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 離散判別分析之變數選取法研究
離散判別分析之變數選取法研究
作者 陳燕鑾
貢獻者 黃登源
陳燕鑾
日期 1988
上傳時間 4-May-2016 14:24:57 (UTC+8)
參考文獻 參考文獻\r\n1. Anderson, J. A. [1972]: “Separate sample logistic discrimination.” Biometrika, 59, 19-36.\r\n2. Anderson, T. W. [1952]: An Introduction to Multivariate Statistical Methods, New York: Wiley.\r\n3. Bahadur, R. R. [1961]: “A representation of the joint distribution of response to n dichotomous items.” In Studies in Item Analysis and Prediction, H. Solomon (Ed.), Palo Alto, Calif.: Stanford Univ. Press, pp. 158-168..\r\n4. Dillon, W. R. and M. Goldstein, [1978]: “On the performance of some multinomial classification rules,” J. Am. Stat. Assoc., 78, no. 362.\r\n5. Gilbert, E. S. [1968]: “On discrimination using qualitative variables,” J. Am. Stat. Assoc., 63, 1399.\r\n6. Glick, N. [1972]: “Sample – based classification procedures derived from density estimators,” J. Am. Stat. Assoc., 67, 166-122.\r\n7. Glick, N. [1973]: “Sample – based mutinomial classification,” Biometrics, 29, 241-256.\r\n8. Goldstein, M. [1975]: “Comparison of some density estimate classification procedures,” J. Am. Stat. Assoc., 70, 666-669.\r\n9. Goldstein, M. and W. R. Dillon, [1977]: “A stepwise discrete variable selection procedure,” Commun. Stat., Theory and Material, 6, 1423-36.\r\n10. Glodstein, M. and W. R. Dillon, [1978]: Discrete Discriminant Analysis, John Wiley & Sons, Inc., New York.\r\n11. Goldstein, M. and M. Rabinowitz, [1975]: “Selection of variates for the two-group multinomial classification problem,” J. Am. Stat. Assoc., 70, 776-781.\r\n12. Haberman, S. J. [1974]: The analysis of frequency data, The University of Chicago Press, Ltd., London.\r\n13. Hoel, P. G. and R. P. Peterson [1949]: “A solution to the problem of optimum classification,” Ann. Math. Stat., 20, 433-438.\r\n14. Hills, M. [1967]: “Discrimination and allocation with discrete data,” J. Roy. Stat. Soc., C16, 237-250.\r\n15. Johnson, R. A. and Wichern, D. W. [1986]: Applied Multivariate Statistical Analysis, Prentice- Hall, Inc., Englewood Cliffs, New Jersey.\r\n16. Kennedy, Jr. W. J. and Gentle, J. E. [1980]: Statistical Computing, 華泰書局, pp192-200.\r\n17. Kullback, S. [1959]: Information Theory and Statistics, New York: Wiley.\r\n18. Lanchin, P. A. [1975]: Discriminant Analysis, Hafner Press, New York.\r\n19. Lachin, J. M. [1973]: “On a stepwise procedure for two populations Bayes decision rules using discrete variables,” Biometrics, 29, 551-564.\r\n20. Martin, D. C. and R. A. Bradley, [1972]: “Probability models estimation and classification for multivariate dichotomous populations,” Biometrics, 28, 203-222.\r\n21. Matusita, K. [1955]: “Decision rules based on the distance for problems of fit, two samples and estimation,” Ann. Math. Stat. 26, 631-640.\r\n22. Moore, D. H., II [1973]: “Evaluation of five discrimination procedures for binary variables,” J. Am. Stat. Assoc., 68-339-404.\r\n23. SAS USER’S GUIDE: Statistics [1982], SAS INSTITUTE INC. CARY, NORTH CAROLINA.\r\n24. Solomon, H. (Ed.) [1961]: Studies in Item Analysis & Prediction, Palo Alto, Calif.: Stanford University Press.\r\n25. Weiner, J. and O. J. Dunn, [1966]: “Elimination of variates in linear discrimination problem,” Biometrics, 22, 268.\r\n26. Welch, B. L. [1939]: “Note on discriminant functions,” Biometrika, 31, 218-220.
參考文獻\r\n1. Anderson, J. A. [1972]: “Separate sample logistic discrimination.” Biometrika, 59, 19-36.\r\n2. Anderson, T. W. [1952]: An Introduction to Multivariate Statistical Methods, New York: Wiley.\r\n3. Bahadur, R. R. [1961]: “A representation of the joint distribution of response to n dichotomous items.” In Studies in Item Analysis and Prediction, H. Solomon (Ed.), Palo Alto, Calif.: Stanford Univ. Press, pp. 158-168..\r\n4. Dillon, W. R. and M. Goldstein, [1978]: “On the performance of some multinomial classification rules,” J. Am. Stat. Assoc., 78, no. 362.\r\n5. Gilbert, E. S. [1968]: “On discrimination using qualitative variables,” J. Am. Stat. Assoc., 63, 1399.\r\n6. Glick, N. [1972]: “Sample – based classification procedures derived from density estimators,” J. Am. Stat. Assoc., 67, 166-122.\r\n7. Glick, N. [1973]: “Sample – based mutinomial classification,” Biometrics, 29, 241-256.\r\n8. Goldstein, M. [1975]: “Comparison of some density estimate classification procedures,” J. Am. Stat. Assoc., 70, 666-669.\r\n9. Goldstein, M. and W. R. Dillon, [1977]: “A stepwise discrete variable selection procedure,” Commun. Stat., Theory and Material, 6, 1423-36.\r\n10. Glodstein, M. and W. R. Dillon, [1978]: Discrete Discriminant Analysis, John Wiley & Sons, Inc., New York.\r\n11. Goldstein, M. and M. Rabinowitz, [1975]: “Selection of variates for the two-group multinomial classification problem,” J. Am. Stat. Assoc., 70, 776-781.\r\n12. Haberman, S. J. [1974]: The analysis of frequency data, The University of Chicago Press, Ltd., London.\r\n13. Hoel, P. G. and R. P. Peterson [1949]: “A solution to the problem of optimum classification,” Ann. Math. Stat., 20, 433-438.\r\n14. Hills, M. [1967]: “Discrimination and allocation with discrete data,” J. Roy. Stat. Soc., C16, 237-250.\r\n15. Johnson, R. A. and Wichern, D. W. [1986]: Applied Multivariate Statistical Analysis, Prentice- Hall, Inc., Englewood Cliffs, New Jersey.\r\n16. Kennedy, Jr. W. J. and Gentle, J. E. [1980]: Statistical Computing, 華泰書局, pp192-200.\r\n17. Kullback, S. [1959]: Information Theory and Statistics, New York: Wiley.\r\n18. Lanchin, P. A. [1975]: Discriminant Analysis, Hafner Press, New York.\r\n19. Lachin, J. M. [1973]: “On a stepwise procedure for two populations Bayes decision rules using discrete variables,” Biometrics, 29, 551-564.\r\n20. Martin, D. C. and R. A. Bradley, [1972]: “Probability models estimation and classification for multivariate dichotomous populations,” Biometrics, 28, 203-222.\r\n21. Matusita, K. [1955]: “Decision rules based on the distance for problems of fit, two samples and estimation,” Ann. Math. Stat. 26, 631-640.\r\n22. Moore, D. H., II [1973]: “Evaluation of five discrimination procedures for binary variables,” J. Am. Stat. Assoc., 68-339-404.\r\n23. SAS USER’S GUIDE: Statistics [1982], SAS INSTITUTE INC. CARY, NORTH CAROLINA.\r\n24. Solomon, H. (Ed.) [1961]: Studies in Item Analysis & Prediction, Palo Alto, Calif.: Stanford University Press.\r\n25. Weiner, J. and O. J. Dunn, [1966]: “Elimination of variates in linear discrimination problem,” Biometrics, 22, 268.\r\n26. Welch, B. L. [1939]: “Note on discriminant functions,” Biometrika, 31, 218-220.
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/#B2002005741
http://thesis.lib.nccu.edu.tw/record/#B2002005741
資料類型 thesis
thesis
dc.contributor.advisor 黃登源zh_TW
dc.contributor.author (Authors) 陳燕鑾zh_TW
dc.creator (作者) 陳燕鑾zh_TW
dc.date (日期) 1988en_US
dc.date.accessioned 4-May-2016 14:24:57 (UTC+8)-
dc.date.available 4-May-2016 14:24:57 (UTC+8)-
dc.date.issued (上傳時間) 4-May-2016 14:24:57 (UTC+8)-
dc.identifier (Other Identifiers) B2002005741en_US
dc.identifier (Other Identifiers) B2002005741en_US
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=102433-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=102433-
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………1\r\n第一節 研究動機與目的………1\r\n第二節 本文結構………1\r\n第二章 離散判別分析的基本理論………3\r\n第一節 緒言………3\r\n第二節 離散判別分析的基本觀點………4\r\n第三節 完全多項式模型下的樣本法………6\r\n第三章 以判別值距離d為基礎之變數選取………10\r\n第一節 理論基礎………10\r\n第二節 以判別值距離d為基礎之變數選取法………13\r\n第三節 舉例………16\r\n第四章 計算方法………27\r\n第五章 模擬分析………31\r\n第六章 結論………34\r\n附錄一………35\r\n附錄二………40\r\n附錄三………43\r\n參考文獻………44zh_TW
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002005741en_US
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#B2002005741en_US
dc.title (題名) 離散判別分析之變數選取法研究zh_TW
dc.title (題名) 離散判別分析之變數選取法研究zh_TW
dc.type (資料類型) thesisen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 參考文獻\r\n1. Anderson, J. A. [1972]: “Separate sample logistic discrimination.” Biometrika, 59, 19-36.\r\n2. Anderson, T. W. [1952]: An Introduction to Multivariate Statistical Methods, New York: Wiley.\r\n3. Bahadur, R. R. [1961]: “A representation of the joint distribution of response to n dichotomous items.” In Studies in Item Analysis and Prediction, H. Solomon (Ed.), Palo Alto, Calif.: Stanford Univ. Press, pp. 158-168..\r\n4. Dillon, W. R. and M. Goldstein, [1978]: “On the performance of some multinomial classification rules,” J. Am. Stat. Assoc., 78, no. 362.\r\n5. Gilbert, E. S. [1968]: “On discrimination using qualitative variables,” J. Am. Stat. Assoc., 63, 1399.\r\n6. Glick, N. [1972]: “Sample – based classification procedures derived from density estimators,” J. Am. Stat. Assoc., 67, 166-122.\r\n7. Glick, N. [1973]: “Sample – based mutinomial classification,” Biometrics, 29, 241-256.\r\n8. Goldstein, M. [1975]: “Comparison of some density estimate classification procedures,” J. Am. Stat. Assoc., 70, 666-669.\r\n9. Goldstein, M. and W. R. Dillon, [1977]: “A stepwise discrete variable selection procedure,” Commun. Stat., Theory and Material, 6, 1423-36.\r\n10. Glodstein, M. and W. R. Dillon, [1978]: Discrete Discriminant Analysis, John Wiley & Sons, Inc., New York.\r\n11. Goldstein, M. and M. Rabinowitz, [1975]: “Selection of variates for the two-group multinomial classification problem,” J. Am. Stat. Assoc., 70, 776-781.\r\n12. Haberman, S. J. [1974]: The analysis of frequency data, The University of Chicago Press, Ltd., London.\r\n13. Hoel, P. G. and R. P. Peterson [1949]: “A solution to the problem of optimum classification,” Ann. Math. Stat., 20, 433-438.\r\n14. Hills, M. [1967]: “Discrimination and allocation with discrete data,” J. Roy. Stat. Soc., C16, 237-250.\r\n15. Johnson, R. A. and Wichern, D. W. [1986]: Applied Multivariate Statistical Analysis, Prentice- Hall, Inc., Englewood Cliffs, New Jersey.\r\n16. Kennedy, Jr. W. J. and Gentle, J. E. [1980]: Statistical Computing, 華泰書局, pp192-200.\r\n17. Kullback, S. [1959]: Information Theory and Statistics, New York: Wiley.\r\n18. Lanchin, P. A. [1975]: Discriminant Analysis, Hafner Press, New York.\r\n19. Lachin, J. M. [1973]: “On a stepwise procedure for two populations Bayes decision rules using discrete variables,” Biometrics, 29, 551-564.\r\n20. Martin, D. C. and R. A. Bradley, [1972]: “Probability models estimation and classification for multivariate dichotomous populations,” Biometrics, 28, 203-222.\r\n21. Matusita, K. [1955]: “Decision rules based on the distance for problems of fit, two samples and estimation,” Ann. Math. Stat. 26, 631-640.\r\n22. Moore, D. H., II [1973]: “Evaluation of five discrimination procedures for binary variables,” J. Am. Stat. Assoc., 68-339-404.\r\n23. SAS USER’S GUIDE: Statistics [1982], SAS INSTITUTE INC. CARY, NORTH CAROLINA.\r\n24. Solomon, H. (Ed.) [1961]: Studies in Item Analysis & Prediction, Palo Alto, Calif.: Stanford University Press.\r\n25. Weiner, J. and O. J. Dunn, [1966]: “Elimination of variates in linear discrimination problem,” Biometrics, 22, 268.\r\n26. Welch, B. L. [1939]: “Note on discriminant functions,” Biometrika, 31, 218-220.zh_TW
dc.relation.reference (參考文獻) 參考文獻\r\n1. Anderson, J. A. [1972]: “Separate sample logistic discrimination.” Biometrika, 59, 19-36.\r\n2. Anderson, T. W. [1952]: An Introduction to Multivariate Statistical Methods, New York: Wiley.\r\n3. Bahadur, R. R. [1961]: “A representation of the joint distribution of response to n dichotomous items.” In Studies in Item Analysis and Prediction, H. Solomon (Ed.), Palo Alto, Calif.: Stanford Univ. Press, pp. 158-168..\r\n4. Dillon, W. R. and M. Goldstein, [1978]: “On the performance of some multinomial classification rules,” J. Am. Stat. Assoc., 78, no. 362.\r\n5. Gilbert, E. S. [1968]: “On discrimination using qualitative variables,” J. Am. Stat. Assoc., 63, 1399.\r\n6. Glick, N. [1972]: “Sample – based classification procedures derived from density estimators,” J. Am. Stat. Assoc., 67, 166-122.\r\n7. Glick, N. [1973]: “Sample – based mutinomial classification,” Biometrics, 29, 241-256.\r\n8. Goldstein, M. [1975]: “Comparison of some density estimate classification procedures,” J. Am. Stat. Assoc., 70, 666-669.\r\n9. Goldstein, M. and W. R. Dillon, [1977]: “A stepwise discrete variable selection procedure,” Commun. Stat., Theory and Material, 6, 1423-36.\r\n10. Glodstein, M. and W. R. Dillon, [1978]: Discrete Discriminant Analysis, John Wiley & Sons, Inc., New York.\r\n11. Goldstein, M. and M. Rabinowitz, [1975]: “Selection of variates for the two-group multinomial classification problem,” J. Am. Stat. Assoc., 70, 776-781.\r\n12. Haberman, S. J. [1974]: The analysis of frequency data, The University of Chicago Press, Ltd., London.\r\n13. Hoel, P. G. and R. P. Peterson [1949]: “A solution to the problem of optimum classification,” Ann. Math. Stat., 20, 433-438.\r\n14. Hills, M. [1967]: “Discrimination and allocation with discrete data,” J. Roy. Stat. Soc., C16, 237-250.\r\n15. Johnson, R. A. and Wichern, D. W. [1986]: Applied Multivariate Statistical Analysis, Prentice- Hall, Inc., Englewood Cliffs, New Jersey.\r\n16. Kennedy, Jr. W. J. and Gentle, J. E. [1980]: Statistical Computing, 華泰書局, pp192-200.\r\n17. Kullback, S. [1959]: Information Theory and Statistics, New York: Wiley.\r\n18. Lanchin, P. A. [1975]: Discriminant Analysis, Hafner Press, New York.\r\n19. Lachin, J. M. [1973]: “On a stepwise procedure for two populations Bayes decision rules using discrete variables,” Biometrics, 29, 551-564.\r\n20. Martin, D. C. and R. A. Bradley, [1972]: “Probability models estimation and classification for multivariate dichotomous populations,” Biometrics, 28, 203-222.\r\n21. Matusita, K. [1955]: “Decision rules based on the distance for problems of fit, two samples and estimation,” Ann. Math. Stat. 26, 631-640.\r\n22. Moore, D. H., II [1973]: “Evaluation of five discrimination procedures for binary variables,” J. Am. Stat. Assoc., 68-339-404.\r\n23. SAS USER’S GUIDE: Statistics [1982], SAS INSTITUTE INC. CARY, NORTH CAROLINA.\r\n24. Solomon, H. (Ed.) [1961]: Studies in Item Analysis & Prediction, Palo Alto, Calif.: Stanford University Press.\r\n25. Weiner, J. and O. J. Dunn, [1966]: “Elimination of variates in linear discrimination problem,” Biometrics, 22, 268.\r\n26. Welch, B. L. [1939]: “Note on discriminant functions,” Biometrika, 31, 218-220.zh_TW