Bayesian and Frequentist Regression Methods (Springer Series in Statistics)

2,5 valoración promedio
( 2 valoraciones por Goodreads )
 
9781441909244: Bayesian and Frequentist Regression Methods (Springer Series in Statistics)

Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place.
The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

Jon Wakefield is Professor in the Departments of Statistics and Biostatistics at the University of Washington. His interests lie in biostatistics, epidemiology and genetics and in links between frequentist and Bayesian methods. His work has been published extensively. He received his PhD from the University of Nottingham, and his honors include the Guy Medal in Bronze from the Royal Statistical Society, and he is a Fellow of the American Statistical Association. He has previously been the Chair of the Department of Statistics at the University of Washington.

Review:

This book is a gem. It is a unique modern regression book, because it includes both Frequentist and Bayesian methods for many of the data types encountered in modern regression analysis, generally put one after the other, so that readers can learn about and compare the two approaches immediately. Topics go through and beyond nonlinear mixed models. All the methods are motivated by interesting data sets, and there are many other data sets available from the author’s web site. There is both R and WinBUGS code for everything. The writing is unusually clear: philosophically, about the practical problems, about the development of the methods and in the data analysis, and it also has a strong series of exercises. It serves especially well as a textbook, but can also be used as a methods reference book.

-Raymond J. Carroll, Distinguished Professor, Texas A&M University

Arguably the most important development of the statistical discipline over the last 40 years has been its progressive de-compartmentalisation.  In the 1970s, generalized linear models unified a wide range of statistical methods for analysing independently replicated data.  In the 1980s, generalized linear mixed models did much the same for dependent data of various kinds, including spatial, longitudinal and genetic settings. Jon Wakefield’s impressive new book takes this process a stage further by recognising that modern computational developments have made models outside the generalized linear class equally accessible, and by taking a refreshingly pragmatic view of different approaches to inference.  The book delivers much more than its title suggests – it could very easily be used as the core-text for a year-long masters course in statistical modelling and inference.

-Peter J Diggle, Distinguished University Professor, Lancaster University

Estimating equations, sandwich estimators, Bayesian inference, MCMC and longitudinal models, all in one book. This text is truly unique both for its broad coverage and its pragmatic approach to inference. Wakefield rejects the usual Bayesian-Frequentist divide and instead shows how good data analysis embraces the best of both worlds. To quote the author: "Each of the frequentist and Bayesian approaches have their merits and can often be used in tandem ..." Thorough and clear, this book is a wonderful resource for students and researchers who want a complete and practical understanding of modern regression methods.

-Larry Wasserman, Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University

"Sobre este título" puede pertenecer a otra edición de este libro.

Los mejores resultados en AbeBooks

1.

Wakefield, Jon
Editorial: Springer (2013)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Cantidad: 1
Librería
Zubal-Books
(Cleveland, OH, Estados Unidos de America)
Valoración
[?]

Descripción Springer, 2013. Estado de conservación: New. *Price HAS BEEN reduced this weekend for our ABEBOOKS November SALE* xix, 697 pp., Hardcover, NEW!!. Nº de ref. de la librería ZB1083741

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 65,22
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,97
A Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Wakefield, Jon
Editorial: Springer-Verlag New York Inc. (2012)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción Springer-Verlag New York Inc., 2012. HRD. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9781441909244

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 77,08
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío

3.

JON WAKEFIELD
Editorial: Springer (2013)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Tapa dura Cantidad: 1
Librería
Herb Tandree Philosophy Books
(Stroud, GLOS, Reino Unido)
Valoración
[?]

Descripción Springer, 2013. Hardback. Estado de conservación: NEW. 9781441909244 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0294416

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 77,34
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 8,97
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Wakefield, Jon
Editorial: Springer (2016)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Paperback Cantidad: 1
Impresión bajo demanda
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Springer, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9781441909244_lsuk

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 82,70
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,34
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Wakefield, Jon
Editorial: Springer-Verlag New York Inc. (2012)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción Springer-Verlag New York Inc., 2012. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9781441909244

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 78,98
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,09
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Jon Wakefield
Editorial: Springer-Verlag New York Inc., United States (2013)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Tapa dura Cantidad: 10
Librería
Book Depository hard to find
(London, Reino Unido)
Valoración
[?]

Descripción Springer-Verlag New York Inc., United States, 2013. Hardback. Estado de conservación: New. 2013 ed.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place.The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines. Nº de ref. de la librería LIE9781441909244

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 96,20
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Jon Wakefield
Editorial: Springer (2013)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Tapa dura Cantidad: 1
Librería
Irish Booksellers
(Rumford, ME, Estados Unidos de America)
Valoración
[?]

Descripción Springer, 2013. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería M1441909249

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 98,23
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Wakefield, Jon
Editorial: Springer (2017)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Tapa dura Cantidad: > 20
Impresión bajo demanda
Librería
Murray Media
(North Miami Beach, FL, Estados Unidos de America)
Valoración
[?]

Descripción Springer, 2017. Hardcover. Estado de conservación: New. Never used! This item is printed on demand. Nº de ref. de la librería 1441909249

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 99,12
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 1,69
A Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Wakefield, Jon
Editorial: Springer (2013)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Tapa dura Cantidad: 10
Impresión bajo demanda
Librería
Ergodebooks
(RICHMOND, TX, Estados Unidos de America)
Valoración
[?]

Descripción Springer, 2013. Hardcover. Estado de conservación: New. This item is printed on demand. Nº de ref. de la librería INGM9781441909244

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 97,09
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,24
A Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Jon Wakefield
Editorial: Springer-Verlag New York Inc., United States (2013)
ISBN 10: 1441909249 ISBN 13: 9781441909244
Nuevos Tapa dura Cantidad: 10
Impresión bajo demanda
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Springer-Verlag New York Inc., United States, 2013. Hardback. Estado de conservación: New. 2013 ed.. Language: English . Brand New Book ***** Print on Demand *****. Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place.The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines. Nº de ref. de la librería APC9781441909244

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 107,70
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda