Analysis of Doubly Truncated Data
An Introduction
Seiten
2019
|
1st ed. 2019
Springer Verlag, Singapore
978-981-13-6240-8 (ISBN)
Springer Verlag, Singapore
978-981-13-6240-8 (ISBN)
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.
Achim Dörre, University of Rostock Takeshi Emura, Chang Gung University
Chapter 1: Introduction to double-truncation.- Chapter 2: Parametric inference under special exponential family.- Chapter 3: Parametric inference under location-scale family.- Chapter 4: Bayes inference.- Chapter 5: Nonparametric inference.- Chapter 6: Linear regression.- Appendix A: Data (if German company data are available).- Appendix B: R codes for inference under exponential family.- Appendix C: R codes for inference under location-scale family.- Appendix D: R codes for Bayes inference.- Appendix E: R codes for linear regression.
| Erscheinungsdatum | 24.05.2019 |
|---|---|
| Reihe/Serie | JSS Research Series in Statistics | SpringerBriefs in Statistics |
| Zusatzinfo | 10 Illustrations, color; 28 Illustrations, black and white; XVI, 109 p. 38 illus., 10 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Naturwissenschaften ► Biologie | |
| Schlagworte | Biased Sampling • Double-truncation • Exponential Family • Left-truncation • Lifetime Distribution • maximum likelihood estimation • Survival Analysis |
| ISBN-10 | 981-13-6240-8 / 9811362408 |
| ISBN-13 | 978-981-13-6240-8 / 9789811362408 |
| Zustand | Neuware |
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