《Statistical Models Based on Counting Processes》求取 ⇩
| 作者 | 编者 |
|---|---|
| 出版 | 世界图书出版公司北京公司 |
| 参考页数 | 767 ✅ 真实服务 非骗流量 ❤️ |
| 出版时间 | 1998（求助前请核对） 目录预览 |
| ISBN号 | 7506238179 — 违规投诉 / 求助条款 |
| PDF编号 | 816709008（学习资料 勿作它用） |
| 求助格式 | 扫描PDF（若分多册发行，每次仅能受理1册） |
Ⅰ．Introduction1
Ⅰ.1General Introduction to the Book1
Ⅰ.2 Brief Survey of the Development of the Subject6
Ⅰ.3 Presentation of Practical Examples10
Ⅱ．The Mathematical Background45
Ⅱ.1An Informal Introduction to the Basic Concepts48
Ⅱ.2 Preliminaries:Processes,Filtrations,and Stopping Times59
Ⅱ.3 Martingale Theory64
Ⅱ.4 Counting Processes72
Ⅱ.5 Limit Theory82
Ⅱ.6 Product-Integration and Markov Processes88
Ⅱ.7 Likelihoods and Partial Likelihoods for Counting Processes95
Ⅱ.8 The Functional Delta-Method109
Ⅱ.9 Bibliographic Remarks115
Ⅲ．Model Specification and Censoring121
Ⅲ.1Examples of Counting Process models for Complete Life History Data.The Multiplicative Intensity Model122
Ⅲ.2 Right-Censoring135
Ⅲ.3 Left-Truncation152
Ⅲ.4 General Censorship,Filtering,and Truncation161
Ⅲ.5 Partial Model Specification.Time-Dependent Covariates168
Ⅲ.6 Bibliographic Remarks172
Ⅳ．Nonparametric Estimation176
Ⅳ.1The Nelson-Aalen estimator177
Ⅳ.2 Smoothing the Nelson-Aalen Estimator229
Ⅳ.3 The Kaplan-Meier Estimator255
Ⅳ.4 The Product-Limit Estimator for the Transition Matrix of a Nonhomogeneous Markov Process287
Ⅳ.5 Bibliographic Remarks321
Ⅴ．Nonparametric Hypothesis Testing332
Ⅴ.1One-Sample Tests333
Ⅴ.2 k-Sample Tests345
Ⅴ.3 Other Linear Nonparametric Tests379
Ⅴ.4 Using the Complete Test Statistic Process390
Ⅴ.5 Bibliographic Remarks397
Ⅵ．Parametric Models401
Ⅵ.1Maximum Likelihood Estimation402
Ⅵ.2 M-Estimators433
Ⅵ.3 Model Checking444
Ⅵ.4 Bibliographic Remarks471
Ⅶ．Regression Models476
Ⅶ.1Introduction.Regression Model Formulation476
Ⅶ.2 Semiparametric Multiplicative Hazard Models481
Ⅶ.3 Goodness-of-Fit Methods for the Semiparametric Multiplicative Hazard Model539
Ⅶ.4 Nonparametric Additive Hazard Models562
Ⅶ.5 Other Non-and Semi-parametric Regression Models578
Ⅶ.6 Parametric Regression Models583
Ⅶ.7 Bibliographic Remarks588
Ⅷ．Asymptotic Efficiency592
Ⅷ.1Contiguity andLocal Asymptotic Normality594
Ⅷ.2 Local Asymptotic Normality in Counting Process Models607
Ⅷ.3 Infinite-dimensional Parameter Spaces:the General Theory627
Ⅷ.4 Semiparametric Counting Process Models635
Ⅷ.5 Bibliographic Remarks656
Ⅸ．Frailty Models660
Ⅸ.1Introduction660
Ⅸ.2 Model Construction662
Ⅸ.3 Likelihoods and Intensities664
Ⅸ.4 Parametric and Nonparametric Maximum Likelihood Estimation with the EM-Algorithm667
Ⅸ.5 Bibliographic Remarks673
Ⅹ．Multivariate Time Scales675
Ⅹ.1Examples of Several Time Scales676
Ⅹ.2 Sequential Analysis of Censored Survival Data with Staggered Entry683
Ⅹ.3 Nonparametric Estimation of the Multivariate Survival Function688
Ⅹ.4 Bibliographic Remarks706
Appendix The Melanoma Survival Data and Standard Mortality Tables for the Danish Population 1971-75709
References715
Author Index747
Subject Index755
1998《Statistical Models Based on Counting Processes》由于是年代较久的资料都绝版了，几乎不可能购买到实物。如果大家为了学习确实需要，可向博主求助其电子版PDF文件（由 1998 世界图书出版公司北京公司 出版的版本） 。对合法合规的求助，我会当即受理并将下载地址发送给你。
高度相关资料
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- MATHEMATICAL MODELS OF SEDIMENTARY PROCESSES
- 1972 PLENUM PRESS . NEW YORK-LONDON . 1972
-
- NONLINEAR STATISTICAL MODELS
- 1987 JOHN WILEY & SONS
-
- COUNTING FOR SOMETHING STATISTICAL PRINCIPLES AND PERSONALITIES
- 1987年 SPRINGER-VERLAG
-
- Statistical Models Based on Counting Processes
- 1998年08月第1版 世界图书出版公司北京公司
-
- Statistical inference in linear models
- 1986 Wiley ill.
-
- Statistical inference based on ranks
- 1984 Wiley
-
- Nonlinear statistical models
- 1987 Wiley
-
- Statistical inference for stochastic processes
- 1980 Academic Press
-
- MODELS OF HIGH ENERGY PROCESSES
- 1980 CAMBRIDGE UNIVERSITY PRESS
-
- STATISTICAL INFERENCE FOR MARKOV PROCESSES
- 1961 THE UNIVERSITY OF CHICAGO PRESS
-
- Statistical decision models for management
- 1984 Allyn and Bacon
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