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Non-linear multivariate statistical models for biomedical data 医薬データにおける非線形多変量統計モデルに関する研究

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著者

    • 越水, 孝 コシミズ, タカシ

書誌事項

タイトル

Non-linear multivariate statistical models for biomedical data

タイトル別名

医薬データにおける非線形多変量統計モデルに関する研究

著者名

越水, 孝

著者別名

コシミズ, タカシ

学位授与大学

大阪電気通信大学

取得学位

博士(工学)

学位授与番号

甲第11号

学位授与年月日

1999-03-24

注記・抄録

博士論文

目次

  1. Table of Contents / p2 (0005.jp2)
  2. Acknowledgements / p1 (0004.jp2)
  3. Abstract / p6 (0009.jp2)
  4. Chapters / p1 (0011.jp2)
  5. 1.Introduction / p1 (0011.jp2)
  6. 1.1 Brief Introduction to the Problem / p1 (0011.jp2)
  7. 1.2 Outline of Linear Statistical Models / p2 (0012.jp2)
  8. 1.3 Extension of Linear Statistical Models to Non-linear Relationship / p3 (0013.jp2)
  9. 1.4 Format of Dissertation / p4 (0014.jp2)
  10. Part 1 ASSOCIATION MODELS FOR ANALYSIS OF CONTINGENCY TABLES / (0015.jp2)
  11. 2.Analysis of Doubly-Ordered Two-way Contingency Tables / p5 (0016.jp2)
  12. 2.1 Introduction / p5 (0016.jp2)
  13. 2.2 Association Models with Cumulative-Odds Ratios / p7 (0018.jp2)
  14. 2.3 Analysis of Association Patterns / p11 (0022.jp2)
  15. 2.4 Evaluation of Performance of Methods Based on Cumulative-Odds Ratios and Local-Odds Ratios / p15 (0026.jp2)
  16. 2.5 Conclusion / p21 (0032.jp2)
  17. 3.Analysis of Singly-Ordered Two-way Contingency Tables / p22 (0033.jp2)
  18. 3.1 Introduction / p22 (0033.jp2)
  19. 3.2 Association Models with Location and Dispersion Scores / p25 (0036.jp2)
  20. 3.3 Numerical Examples / p27 (0038.jp2)
  21. 3.4 Monte Carlo Simulation Study / p32 (0043.jp2)
  22. 3.5 Conclusion / p39 (0050.jp2)
  23. 4.Models to Establish Non-inferiority in Stratified 2x2 Contingency Tables / p41 (0052.jp2)
  24. 4.1 Introduction / p41 (0052.jp2)
  25. 4.2 Test Statistics / p44 (0055.jp2)
  26. 4.3 Two-stage Test for Non-inferiority / p47 (0058.jp2)
  27. 4.4 Monte Carlo Simulation Study / p53 (0064.jp2)
  28. 4.5 Conclusion / p58 (0069.jp2)
  29. Part 2 NON-LINEAR STATISTICAL MODELS USING FEED-FORWARD NEURAL NETWORKS / (0070.jp2)
  30. 5.Non-linear Models for Binary Response Variables / p59 (0071.jp2)
  31. 5.1 Introduction / p59 (0071.jp2)
  32. 5.2 Arc-sine Transformation and Neural Network Likelihood / p60 (0072.jp2)
  33. 5.3 Conclusion / p73 (0085.jp2)
  34. 6.Non-linear Discriminant Analysis / p74 (0086.jp2)
  35. 6.1 Introduction / p74 (0086.jp2)
  36. 6.2 Neural Discriminant Analysis / p76 (0088.jp2)
  37. 6.3 Application / p88 (0100.jp2)
  38. 6.4 Conclusion / p108 (0120.jp2)
  39. 7.Model Diagnostics / p109 (0121.jp2)
  40. 7.1 Introduction / p109 (0121.jp2)
  41. 7.2 Information Criterion / p111 (0123.jp2)
  42. 7.3 Error Rates / p113 (0125.jp2)
  43. 7.4 Residual Analysis / p114 (0126.jp2)
  44. 7.5 Application / p115 (0127.jp2)
  45. 7.6 Conclusion / p123 (0135.jp2)
  46. 8.Conclusion / p124 (0136.jp2)
  47. 8.1 Summary of Results / p124 (0136.jp2)
  48. 8.2 Future Directions / p126 (0138.jp2)
  49. Bibliography / p128 (0140.jp2)
  50. Author's Publication / p138 (0150.jp2)
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各種コード

  • NII論文ID(NAID)
    500000173865
  • NII著者ID(NRID)
    • 8000000174141
  • DOI(NDL)
  • NDL書誌ID
    • 000000338179
  • データ提供元
    • NDL-OPAC
    • NDLデジタルコレクション
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