An Introduction to Categorical Data Analysis

An Introduction to Categorical Data Analysis By Agresti, Alan Published by WILEY Publication Date: 2019-01-22 Subject: Mathematics Probability & Statistics General, Mathematics Probability & Statistics - Multivariate Analysis, Calculus & Mathematical Analysis, Data Analysis: General, Data Capture & Analysis, Mathematics, Calculus And Mathematical Analysis, Data Capture And Analysis, Data Science And Analysis: General, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Mathematics Probability & Statistics General, Mathematics, Probability & Statistics, General, Mathematics, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Categorical Data Analysis, Statistical Software R, Statistical Software, R, Data Analysis, Categorical Response Data; Probability Distributions; Categorical Data; Statistical; Discrete Data; Bayesian Inference; R Software; Contingency Tables; Probability Structure; Odds Ratio; Chi-Squared Tests Of Independence; Ordinal Variables; Exact Frequentist; Generalized Linear Models; Statistical Inference; Model Checking; Logistic Regression; Roc Curves; Binary Regression Models; Model Selection; Penalized Likelihood; Conditional Likelihood; Linear Probability; Probit Models; Logit Models; Link Models; Loglinear Models; Count Response Variables; Matched Pairs; Marginal Models; Nominal Matched-Pairs Responses; Rater Agreement; Bradley-Terry Model; Generalized Linear Mixed Models; Random Effects Modeling; Multinomial Responses; Multilevel Models; Latent Class Models; Linear Discriminant Analysis; Tree-Based Prediction; Cluster Analysis For Categorical Responses; Generalized Additive Models Subject Keywords: Categorical Response Data; Probability Distributions; Categorical Data; Statistical; Discrete Data; Bayesian Inference; R Software; Contingency Tables; Probability Structure; Odds Ratio; Chi-Squared Tests of Independence; Ordinal Variables; Exact Frequentist; Generalized Linear Models; Statistical Inference; Model Checking; Logistic Regression; ROC Curves; Binary Regression Models; Model Selection; Penalized Likelihood; Conditional Likelihood; Linear Probability; Probit Models; Logit Models; Link Models; Loglinear Models; Count Response Variables; Matched Pairs; Marginal Models; Nominal Matched-Pairs Responses; Rater Agreement; Bradley-Terry Model; Generalized Linear Mixed Models; Random Effects Modeling; Multinomial Responses; Multilevel Models; Latent Class Models; Linear Discriminant Analysis; Tree-Based Prediction; Cluster Analysis for Categorical Responses; Generalized Additive Models, Categorical Response Data; Probability Distributions; Categorical Data; Statistical; Discrete Data; Bayesian Inference; R Software; Contingency Tables; Probability Structure; Odds Ratio; Chi-Squared Tests of Independence; Ordinal Variables; Exact Frequentist; Generalized Linear Models; Statistical Inference; Model Checking; Logistic Regression; ROC Curves; Binary Regression Models; Model Selection; Penalized Likelihood; Conditional Likelihood; Linear Probability; Probit Models; Logit Models; Link Models; Loglinear Models; Count Response Variables; Matched Pairs; Marginal Models; Nominal Matched-Pairs Responses; Rater Agreement; Generalized Linear Mixed Models; Random Effects Modeling; Multinomial Responses; Multilevel Models; Latent Class Models; Linear Discriminant Analysis; Tree-Based Prediction; Cluster Analysis for Categorical Responses; Generalized Additive Models; Bradley-Terry Model Genre: Mathematics, Probability & Statistics, General, Mathematics, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Target Audience: Professional and scholarly