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100   $a20180706d2010      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aBayesian ideas and data analysis $ean introduction for scientists and statisticians /$fby Ronald Christensen, Wesley Johnson, Adam Branscum and Timothy E Hanson
205   $aFirst edition.
210  1$aBoca Raton, FL :$cCRC Press, an imprint of Taylor and Francis,$d2010.
215   $a1 online resource (518 p.)
225 1 $aChapman & Hall/CRC Texts in Statistical Science Series
300   $aDescription based upon print version of record.
311   $a1-4398-0354-4 
320   $aIncludes bibliographical references and indexes.
327   $aFront cover; Contents; Preface; Chapter 1: Prologue; Chapter 2: Fundamental Ideas I; Chapter 3: Integration Versus Simulation; Chapter 4: Fundamental Ideas II; Chapter 5:Comparing Populations; Chapter 6: Simulations; Chapter 7: Basic Concepts of Regression; Chapter 8: Binomial Regression; Chapter 9: Linear Regression; Chapter 10: Correlated Data; Chapter 11: Count Data; Chapter 12: Time to Event Data; Chapter 13: Time to Event Regression; Chapter 14: Binary Diagnostic Tests; Chapter 15: Nonparametric Models; Appendix A: Matrices and Vectors; Appendix B: Probability
327   $aAppendix C: Getting Started in RReferences; Author Index; Subject Index; Back cover
330 3 $aEmphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data.
410  0$aTexts in statistical science.
606   $aBayesian statistical decision theory
615  0$aBayesian statistical decision theory.
676   $a519.5/42
700   $aChristensen$b Ronald$066381
702   $aBranscum$b Adam
702   $aHanson$b Timothy E
702   $aJohnson$b Wesley
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910797025003321
996   $aBayesian ideas and data analysis$93831934
997   $aUNINA