Picture 1 of 1
Stock photo
Picture 1 of 1
Stock photo
Wiley Series in Probability and Statistics Ser.: Case Studies in Bayesian Statistical Modelling and Analysis by Kerrie L. Mengersen (2012, Hardcover)
ThriftBooks (3947540)
98.9% positive feedback
Price:
US $87.06
ApproximatelyRM 366.70
+ $11.98 shipping
Returns:
No returns, but backed by .
Condition:
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-101119941822
ISBN-139781119941828
eBay Product ID (ePID)117317947
Product Key Features
Number of Pages512 Pages
Publication NameCase Studies in Bayesian Statistical Modelling and Analysis
LanguageEnglish
Publication Year2012
SubjectProbability & Statistics / General, Probability & Statistics / Bayesian Analysis
TypeTextbook
Subject AreaMathematics
AuthorKerrie L. Mengersen
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover
Dimensions
Item Height1.1 in
Item Weight26.9 Oz
Item Length9.4 in
Item Width6.3 in
Additional Product Features
Intended AudienceScholarly & Professional
Reviews"As such, this book can serve as a handy reference for proficient statisticians and programmers." ( The Quarterly Review of Biology , 1 October 2015)
Dewey Edition23
IllustratedYes
Dewey Decimal519.542
SynopsisProvides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial., Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis : Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial., Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches Case Studies in Bayesian Statistical Modelling and Analysis : Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial., Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance.
LC Classification NumberQA279.5
Be the first to write a review
