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Analysis of Doubly Truncated Data: An Introduction (SpringerBriefs in Statistics) by Achim Dörre, Takeshi Emura is a nonfiction available to read on EtoBox.
What is Analysis of Doubly Truncated Data: An Introduction (SpringerBriefs in Statistics) about?
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.
Who reads Analysis of Doubly Truncated Data: An Introduction (SpringerBriefs in Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Achim Dörre, Takeshi Emura
- Publisher
- Springer Singapore : Imprint : Springer
- Published
- 2019
- Language
- EN
- ISBN
- 9789811362408
- Category
- nonfiction
- Subjects
- Medical, Mathematics, Computer Science
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