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Autore: |
Dörre Achim
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Titolo: |
Analysis of Doubly Truncated Data : An Introduction / / by Achim Dörre, Takeshi Emura
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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 ![]() |
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 |
Opac: | Controlla la disponibilità qui |