English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113822/144841 (79%)
Visitors : 51768077      Online Users : 542
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • 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 140.119/90507


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/90507


    Title: 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
    Authors: 陳燕鑾
    Contributors: 黃登源
    陳燕鑾
    Date: 1988
    Issue Date: 2016-05-04 14:24:57 (UTC+8)
    Reference: 參考文獻
    1. Anderson, J. A. [1972]: “Separate sample logistic discrimination.” Biometrika, 59, 19-36.
    2. Anderson, T. W. [1952]: An Introduction to Multivariate Statistical Methods, New York: Wiley.
    3. 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..
    4. Dillon, W. R. and M. Goldstein, [1978]: “On the performance of some multinomial classification rules,” J. Am. Stat. Assoc., 78, no. 362.
    5. Gilbert, E. S. [1968]: “On discrimination using qualitative variables,” J. Am. Stat. Assoc., 63, 1399.
    6. Glick, N. [1972]: “Sample – based classification procedures derived from density estimators,” J. Am. Stat. Assoc., 67, 166-122.
    7. Glick, N. [1973]: “Sample – based mutinomial classification,” Biometrics, 29, 241-256.
    8. Goldstein, M. [1975]: “Comparison of some density estimate classification procedures,” J. Am. Stat. Assoc., 70, 666-669.
    9. Goldstein, M. and W. R. Dillon, [1977]: “A stepwise discrete variable selection procedure,” Commun. Stat., Theory and Material, 6, 1423-36.
    10. Glodstein, M. and W. R. Dillon, [1978]: Discrete Discriminant Analysis, John Wiley & Sons, Inc., New York.
    11. Goldstein, M. and M. Rabinowitz, [1975]: “Selection of variates for the two-group multinomial classification problem,” J. Am. Stat. Assoc., 70, 776-781.
    12. Haberman, S. J. [1974]: The analysis of frequency data, The University of Chicago Press, Ltd., London.
    13. Hoel, P. G. and R. P. Peterson [1949]: “A solution to the problem of optimum classification,” Ann. Math. Stat., 20, 433-438.
    14. Hills, M. [1967]: “Discrimination and allocation with discrete data,” J. Roy. Stat. Soc., C16, 237-250.
    15. Johnson, R. A. and Wichern, D. W. [1986]: Applied Multivariate Statistical Analysis, Prentice- Hall, Inc., Englewood Cliffs, New Jersey.
    16. Kennedy, Jr. W. J. and Gentle, J. E. [1980]: Statistical Computing, 華泰書局, pp192-200.
    17. Kullback, S. [1959]: Information Theory and Statistics, New York: Wiley.
    18. Lanchin, P. A. [1975]: Discriminant Analysis, Hafner Press, New York.
    19. Lachin, J. M. [1973]: “On a stepwise procedure for two populations Bayes decision rules using discrete variables,” Biometrics, 29, 551-564.
    20. Martin, D. C. and R. A. Bradley, [1972]: “Probability models estimation and classification for multivariate dichotomous populations,” Biometrics, 28, 203-222.
    21. Matusita, K. [1955]: “Decision rules based on the distance for problems of fit, two samples and estimation,” Ann. Math. Stat. 26, 631-640.
    22. Moore, D. H., II [1973]: “Evaluation of five discrimination procedures for binary variables,” J. Am. Stat. Assoc., 68-339-404.
    23. SAS USER’S GUIDE: Statistics [1982], SAS INSTITUTE INC. CARY, NORTH CAROLINA.
    24. Solomon, H. (Ed.) [1961]: Studies in Item Analysis & Prediction, Palo Alto, Calif.: Stanford University Press.
    25. Weiner, J. and O. J. Dunn, [1966]: “Elimination of variates in linear discrimination problem,” Biometrics, 22, 268.
    26. Welch, B. L. [1939]: “Note on discriminant functions,” Biometrika, 31, 218-220.
    參考文獻
    1. Anderson, J. A. [1972]: “Separate sample logistic discrimination.” Biometrika, 59, 19-36.
    2. Anderson, T. W. [1952]: An Introduction to Multivariate Statistical Methods, New York: Wiley.
    3. 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..
    4. Dillon, W. R. and M. Goldstein, [1978]: “On the performance of some multinomial classification rules,” J. Am. Stat. Assoc., 78, no. 362.
    5. Gilbert, E. S. [1968]: “On discrimination using qualitative variables,” J. Am. Stat. Assoc., 63, 1399.
    6. Glick, N. [1972]: “Sample – based classification procedures derived from density estimators,” J. Am. Stat. Assoc., 67, 166-122.
    7. Glick, N. [1973]: “Sample – based mutinomial classification,” Biometrics, 29, 241-256.
    8. Goldstein, M. [1975]: “Comparison of some density estimate classification procedures,” J. Am. Stat. Assoc., 70, 666-669.
    9. Goldstein, M. and W. R. Dillon, [1977]: “A stepwise discrete variable selection procedure,” Commun. Stat., Theory and Material, 6, 1423-36.
    10. Glodstein, M. and W. R. Dillon, [1978]: Discrete Discriminant Analysis, John Wiley & Sons, Inc., New York.
    11. Goldstein, M. and M. Rabinowitz, [1975]: “Selection of variates for the two-group multinomial classification problem,” J. Am. Stat. Assoc., 70, 776-781.
    12. Haberman, S. J. [1974]: The analysis of frequency data, The University of Chicago Press, Ltd., London.
    13. Hoel, P. G. and R. P. Peterson [1949]: “A solution to the problem of optimum classification,” Ann. Math. Stat., 20, 433-438.
    14. Hills, M. [1967]: “Discrimination and allocation with discrete data,” J. Roy. Stat. Soc., C16, 237-250.
    15. Johnson, R. A. and Wichern, D. W. [1986]: Applied Multivariate Statistical Analysis, Prentice- Hall, Inc., Englewood Cliffs, New Jersey.
    16. Kennedy, Jr. W. J. and Gentle, J. E. [1980]: Statistical Computing, 華泰書局, pp192-200.
    17. Kullback, S. [1959]: Information Theory and Statistics, New York: Wiley.
    18. Lanchin, P. A. [1975]: Discriminant Analysis, Hafner Press, New York.
    19. Lachin, J. M. [1973]: “On a stepwise procedure for two populations Bayes decision rules using discrete variables,” Biometrics, 29, 551-564.
    20. Martin, D. C. and R. A. Bradley, [1972]: “Probability models estimation and classification for multivariate dichotomous populations,” Biometrics, 28, 203-222.
    21. Matusita, K. [1955]: “Decision rules based on the distance for problems of fit, two samples and estimation,” Ann. Math. Stat. 26, 631-640.
    22. Moore, D. H., II [1973]: “Evaluation of five discrimination procedures for binary variables,” J. Am. Stat. Assoc., 68-339-404.
    23. SAS USER’S GUIDE: Statistics [1982], SAS INSTITUTE INC. CARY, NORTH CAROLINA.
    24. Solomon, H. (Ed.) [1961]: Studies in Item Analysis & Prediction, Palo Alto, Calif.: Stanford University Press.
    25. Weiner, J. and O. J. Dunn, [1966]: “Elimination of variates in linear discrimination problem,” Biometrics, 22, 268.
    26. Welch, B. L. [1939]: “Note on discriminant functions,” Biometrika, 31, 218-220.
    Description: 碩士
    國立政治大學
    統計學系
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002005741
    http://thesis.lib.nccu.edu.tw/record/#B2002005741
    Data Type: thesis
    thesis
    Appears in Collections:[統計學系] 學位論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2265View/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