Description: Bayesian Ideas and Data Analysis Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). An Introduction for Scientists and Statisticians Author(s): Ronald Christensen, Wesley Johnson, Adam Branscum, Timothy E Hanson Format: Hardback Publisher: Taylor & Francis Inc, United States Imprint: CRC Press Inc ISBN-13: 9781439803547, 978-1439803547 Synopsis Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book?s website. The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data. Data sets and codes are provided on a supplemental website.
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Book Title: Bayesian Ideas and Data Analysis
Number of Pages: 516 Pages
Language: English
Publication Name: Bayesian Ideas and Data Analysis: an Introduction for Scientists and Statisticians
Publisher: Taylor & Francis INC International Concepts
Publication Year: 2010
Subject: Mathematics
Item Height: 246 mm
Item Weight: 1066 g
Type: Textbook
Author: Ronald Christensen, Adam Branscum, Timothy E Hanson, Wesley Johnson
Series: Chapman & Hall/Crc Texts in Statistical Science
Item Width: 174 mm
Format: Hardcover
