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Analysis of Doubly Truncated Data [[electronic resource] ] : An Introduction / / by Achim Dörre, Takeshi Emura



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Autore: Dörre Achim Visualizza persona
Titolo: Analysis of Doubly Truncated Data [[electronic resource] ] : An Introduction / / by Achim Dörre, Takeshi Emura Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XVI, 109 p. 38 illus., 10 illus. in color.)
Disciplina: 519.5
Soggetto topico: Statistics 
Biostatistics
Statistical Theory and Methods
Applied Statistics
Statistics and Computing/Statistics Programs
Persona (resp. second.): EmuraTakeshi
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Analysis of Doubly Truncated Data  Visualizza cluster
ISBN: 981-13-6241-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910350247703321
Lo trovi qui: Univ. Federico II
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Serie: JSS Research Series in Statistics, . 2364-0057