Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Hardcover)

Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Hardcover)

作者: Ronald Christensen Wesley Johnson Adam Branscum Timothy E Hanson
出版社: CRC
出版在: 2010-07-06
ISBN-13: 9781439803547
ISBN-10: 1439803544
裝訂格式: Hardcover
總頁數: 516 頁





內容描述


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.




相關書籍

機器學習與振動信號處理

作者 楊宏暉 閆孝偉 盛美萍

2010-07-06

深度學習|生命科學應用 (Deep Learning for the Life Sciences)

作者 Bharath Ramsundar等 楊尊一 譯

2010-07-06

面向機器智能的 TensorFlow 實踐

作者 山姆·亞伯拉罕 (Sam Abrahams) 丹尼亞爾·哈夫納 (Danijar Hafner) 埃里克·厄威特 (Erik Erwitt) 阿裡爾·斯卡爾皮內里 (Ariel Scarpinelli)

2010-07-06