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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
12/01/2012 |
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Data da última atualização: |
12/01/2012 |
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Autoria: |
KRUSCHKE, J. K. |
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Afiliação: |
JOHN K. KRUSCHKE, INDIANA UNIVERSITY, USA. |
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Título: |
Doing bayesian data analysis: a tutorial with R and bugs. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Burlington: Academic Press; Oxford: Elsevier, 2011. |
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Páginas: |
653 p. |
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ISBN: |
978-0-12-381485-2 |
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Idioma: |
Inglês |
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Conteúdo: |
CHAPTER 1 This Book?s Organization: Read Me First!
Part 1 The Basics: Parameters, Probability, Bayes? Rule, and R - CHAPTER 2 Introduction: Models We Believe In; CHAPTER 3 What Is This Stuff Called Probability?; CHAPTER 4 Bayes? Rule.
Part 2 All the Fundamentals Applied to Inferring a Binomial Proportion - CHAPTER 5 Inferring a Binomial Proportion via Exact Mathematical Analysis; CHAPTER 6 Inferring a Binomial Proportion via Grid Approximation; CHAPTER 7 Inferring a Binomial Proportion via the Metropolis Algorithm; CHAPTER 8 Inferring Two Binomial Proportions via Gibbs Sampling; CHAPTER 9 Bernoulli Likelihood with Hierarchical Prior; CHAPTER 10 Hierarchical Modeling and Model Comparison; CHAPTER 11 Null Hypothesis Significance Testing; CHAPTER 12 Bayesian Approaches to Testing a Point (?Null?) Hypothesis; CHAPTER 13 Goals, Power, and Sample Size.
Part 3 Applied to the Generalized Linear Model - CHAPTER 14 Overview of the Generalized Linear Model ;CHAPTER 15 Metric Predicted Variable on a Single Group; CHAPTER 16 Metric Predicted Variable with One Metric Predictor; CHAPTER 17 Metric Predicted Variable with Multiple Metric Predictors; CHAPTER 18 Metric Predicted Variable with One Nominal Predictor; CHAPTER 19 Metric Predicted Variable with Multiple Nominal Predictors; CHAPTER 20 Dichotomous Predicted Variable; CHAPTER 21 Ordinal Predicted Variable; CHAPTER 22 Contingency Table Analysis; CHAPTER 23 Tools in the Trunk.
REFERENCES
INDEX |
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Palavras-Chave: |
Programa gráfico estatístico R. |
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Thesagro: |
Estatística. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01904nam a2200157 a 4500
001 1912555
005 2012-01-12
008 2011 bl uuuu 00u1 u #d
020 $a978-0-12-381485-2
100 1 $aKRUSCHKE, J. K.
245 $aDoing bayesian data analysis$ba tutorial with R and bugs.
260 $aBurlington: Academic Press; Oxford: Elsevier$c2011
300 $a653 p.
520 $aCHAPTER 1 This Book?s Organization: Read Me First! Part 1 The Basics: Parameters, Probability, Bayes? Rule, and R - CHAPTER 2 Introduction: Models We Believe In; CHAPTER 3 What Is This Stuff Called Probability?; CHAPTER 4 Bayes? Rule. Part 2 All the Fundamentals Applied to Inferring a Binomial Proportion - CHAPTER 5 Inferring a Binomial Proportion via Exact Mathematical Analysis; CHAPTER 6 Inferring a Binomial Proportion via Grid Approximation; CHAPTER 7 Inferring a Binomial Proportion via the Metropolis Algorithm; CHAPTER 8 Inferring Two Binomial Proportions via Gibbs Sampling; CHAPTER 9 Bernoulli Likelihood with Hierarchical Prior; CHAPTER 10 Hierarchical Modeling and Model Comparison; CHAPTER 11 Null Hypothesis Significance Testing; CHAPTER 12 Bayesian Approaches to Testing a Point (?Null?) Hypothesis; CHAPTER 13 Goals, Power, and Sample Size. Part 3 Applied to the Generalized Linear Model - CHAPTER 14 Overview of the Generalized Linear Model ;CHAPTER 15 Metric Predicted Variable on a Single Group; CHAPTER 16 Metric Predicted Variable with One Metric Predictor; CHAPTER 17 Metric Predicted Variable with Multiple Metric Predictors; CHAPTER 18 Metric Predicted Variable with One Nominal Predictor; CHAPTER 19 Metric Predicted Variable with Multiple Nominal Predictors; CHAPTER 20 Dichotomous Predicted Variable; CHAPTER 21 Ordinal Predicted Variable; CHAPTER 22 Contingency Table Analysis; CHAPTER 23 Tools in the Trunk. REFERENCES INDEX
650 $aEstatística
653 $aPrograma gráfico estatístico R
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