01904nam a2200157 a 450000100080000000500110000800800410001902000220006010000200008224500620010226000550016430000110021952014620023065000170169265300370170919125552012-01-12       2011    bl uuuu      00u1 u    #d  a978-0-12-381485-21 aKRUSCHKE, J. K.  aDoing bayesian data analysisba tutorial with R and bugs.  aBurlington: Academic Press; Oxford: Elsevierc2011  a653 p.  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  aEstatística  aPrograma gráfico estatístico R