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You searched IISERK - Title: Analysis of phylogeny and character evolution
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Call Number
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519.5
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Author
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Dörre, Achim. author.
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Title
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Analysis of Doubly Truncated Data [electronic resource] : An Introduction / by Achim Dörre, Takeshi Emura.
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Material Info.
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XVI, 109 p. 38 illus., 10 illus. in color. online resource.
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Series
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JSS Research Series in Statistics, 2364-0057
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Series
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JSS Research Series in Statistics, 2364-0057
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Summary Note
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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.
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Notes
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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.
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ISBN
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9789811362415
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Subject
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Statistics .
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Subject
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Biostatistics.
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Subject
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Statistical Theory and Methods.
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Subject
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Applied Statistics.
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Subject
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Biostatistics.
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Subject
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Statistics and Computing/Statistics Programs.
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Added Entry
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Emura, Takeshi. author.
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Added Entry
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SpringerLink (Online service)
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Date
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Year, Month, Day:02102251
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