Statistical inference on some nonstationary point processes and change-points in some neurological phenomena 非定常点過程および神経学的現象における変化点に関する統計的推測

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Author

    • 逸見, 功 ヘンミ, イサオ

Bibliographic Information

Title

Statistical inference on some nonstationary point processes and change-points in some neurological phenomena

Other Title

非定常点過程および神経学的現象における変化点に関する統計的推測

Author

逸見, 功

Author(Another name)

ヘンミ, イサオ

University

東京工業大学

Types of degree

博士 (理学)

Grant ID

甲第3559号

Degree year

1997-03-26

Note and Description

博士論文

Table of Contents

  1. 論文目録 / (0002.jp2)
  2. Contents / p1 (0004.jp2)
  3. 1 Introduction / p3 (0006.jp2)
  4. 2 Parameter estimation of Cox's regression model for competing risks with missing failure type / p17 (0020.jp2)
  5. 2.1 Introduction / p18 (0021.jp2)
  6. 2.2 Two-stage estimation of regression coefficients under incomplete observations / p20 (0023.jp2)
  7. 2.3 Simulation studies on [数式] and [数式] / p30 (0033.jp2)
  8. 3 Variance of two-stage estimator of regression coefficients in the Cox regression model for competing risks with missing failure types / p43 (0046.jp2)
  9. 3.1 Introduction / p44 (0047.jp2)
  10. 3.2 Jackknife estimator of variance of two-stage estimator / p45 (0048.jp2)
  11. 3.3 Simulation studies on statistical properties of the jackknife estimator / p49 (0052.jp2)
  12. 4 On statistical estimation of change-points in some neurological phenomena / p55 (0058.jp2)
  13. 4.1 Introduction / p56 (0059.jp2)
  14. 4.2 An estimator of the change-point by locally fitting a linear function / p58 (0061.jp2)
  15. 4.3 Determination of the critical point / p61 (0064.jp2)
  16. 4.4 Comparisons between the proposed method and other methods by simulation / p73 (0076.jp2)
  17. 4.5 Application to MEG data / p74 (0077.jp2)
  18. 4.6 Estimation of the boundary between the light-detecting and nonlight-detecting regions / p79 (0082.jp2)
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Codes

  • NII Article ID (NAID)
    500000153761
  • NII Author ID (NRID)
    • 8000001092775
  • DOI(NDL)
  • NDLBibID
    • 000000318075
  • Source
    • NDL ONLINE
    • NDL Digital Collections
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