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Model Choice in Nonnested Families
This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | SpringerBriefs in Statistics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 020 | |a 9783662537367 |9 978-3-662-53736-7 | ||
| 024 | 7 | |a 10.1007/978-3-662-53736-7 |2 doi | |
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| 100 | 1 | |a Pereira, Basilio de Bragança. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Model Choice in Nonnested Families |h [electronic resource] / |c by Basilio de Bragança Pereira, Carlos Alberto de Bragança Pereira. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2016. | |
| 300 | |a X, 96 p. 5 illus., 2 illus. in color. |b online resource. | ||
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| 490 | 1 | |a SpringerBriefs in Statistics, |x 2191-5458 | |
| 505 | 0 | |a Preliminaries -- Frequentist Methods -- Bayesian Methods -- Support and Simulation Methods -- Maximum Likelihood Estimation -- Index. | |
| 520 | |a This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Biometry. | |
| 650 | 0 | |a Econometrics. | |
| 650 | 0 | |a Mathematical statistics-Data processing. | |
| 650 | 1 | 4 | |a Statistical Theory and Methods. |
| 650 | 2 | 4 | |a Statistics in Business, Management, Economics, Finance, Insurance. |
| 650 | 2 | 4 | |a Biostatistics. |
| 650 | 2 | 4 | |a Econometrics. |
| 650 | 2 | 4 | |a Statistics and Computing. |
| 700 | 1 | |a Pereira, Carlos Alberto de Bragança. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783662537350 |
| 776 | 0 | 8 | |i Printed edition: |z 9783662537374 |
| 830 | 0 | |a SpringerBriefs in Statistics, |x 2191-5458 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-662-53736-7 |z Texto Completo |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||