{"product_id":"bayesian-ideas-and-data-analysis-an-introduction-for-scientists-and-statisticians-9781439803547","title":"Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians","description":"\u003cp\u003eEmphasizing the use of WinBUGS and R to analyze real data, \u003cstrong\u003eBayesian Ideas and Data Analysis\u003c\/strong\u003e\u003cstrong\u003e: An Introduction for Scientists and Statisticians\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eThe appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, \u003cstrong\u003eBayesian Ideas and Data Analysis\u003c\/strong\u003e focuses on the necessary tools and concepts for modeling and analyzing scientific data.\u003c\/p\u003e\u003cp\u003eData sets and codes are provided on a supplemental website.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eRonald Christensen\u003c\/strong\u003e is a Professor in the Department of Mathematics and Statistics at the University of New Mexico, Albuquerque. He is also a Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics as well as the former Chair of the ASA Section on Bayesian Statistical Science.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWesley Johnson\u003c\/strong\u003e is a Professor in the Department of Statistics at the University of California, Irvine. He is also a Fellow of the ASA and Chair-Elect of the ASA Section on Bayesian Statistical Science.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAdam Branscum\u003c\/strong\u003e is an Associate Professor in the Department of Public Health at Oregon State University, Corvallis.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTimothy E. Hanson\u003c\/strong\u003e is an Associate Professor in the Department of Statistics at the University of South Carolina, Columbia.\u003c\/p\u003e\u003cbr\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":50337136378130,"sku":"9781439803547","price":109.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_4340a831-3a01-4a7e-896f-83d84bddc08f.jpg?v=1727954512","url":"https:\/\/surprise-castle.myshopify.com\/products\/bayesian-ideas-and-data-analysis-an-introduction-for-scientists-and-statisticians-9781439803547","provider":"Surprise Castle","version":"1.0","type":"link"}