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Analysis of Doubly Truncated Data = An Introduction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Analysis of Doubly Truncated Data/ by Achim Dörre, Takeshi Emura.
Reminder of title:	An Introduction /
Author:	Dörre, Achim.
other author:	Emura, Takeshi.
Description:	XVI, 109 p. 38 illus., 10 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-981-13-6241-5
ISBN:	9789811362415

Analysis of Doubly Truncated Data = An Introduction /
Dörre, Achim.

Analysis of Doubly Truncated DataAn Introduction /[electronic resource] :by Achim Dörre, Takeshi Emura. - 1st ed. 2019. - XVI, 109 p. 38 illus., 10 illus. in color.online resource. - JSS Research Series in Statistics,2364-0057. - JSS Research Series in Statistics,.

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.

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.

ISBN: 9789811362415

Standard No.: 10.1007/978-981-13-6241-5doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Analysis of Doubly Truncated Data = An Introduction /
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