| 期刊全稱 | Analysis of Doubly Truncated Data | | 期刊簡(jiǎn)稱 | An Introduction | | 影響因子2023 | Achim D?rre,Takeshi Emura | | 視頻video | http://file.papertrans.cn/157/156351/156351.mp4 | | 發(fā)行地址 | Serves as an accessible introductory textbook on the analysis of doubly truncated data for students of statistics, mathematics, and econometrics.Provides illustrative examples from biostatistics, econ | | 學(xué)科分類 | SpringerBriefs in Statistics | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Book 2019 |
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