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[null,"1.","Record Nr.",null,"UNINA9910460758603321"]
[null,null,"Autore",null,"Christensen Ronald"]
[null,null,"Titolo",null,"Bayesian ideas and data analysis : an introduction for scientists and statisticians / / by Ronald Christensen, Wesley Johnson, Adam Branscum and Timothy E Hanson"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2010"]
[null,null,"ISBN",null,"0-429-11177-0"]
[{"$nulls":4},"1-4398-9479-5"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (518 p.)"]
[null,null,"Collana",null,"Chapman & Hall/CRC Texts in Statistical Science Series"]
[null,null,"Disciplina",null,"519.5/42"]
[null,null,"Soggetti",null,"Bayesian statistical decision theory"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and indexes."]
[null,null,"Nota di contenuto",null,"Front 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"]
[{"$nulls":4},"Appendix C: Getting Started in RReferences; Author Index; Subject Index; Back cover"]
[null,null,null,"Sommario/riassunto","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."]