Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
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Statistical Inference
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
Author: Andrew Gelman
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The Elements of Statistical Learning
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Introductory Statistics with R
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Theory of Point Estimation (Springer Texts in Statistics)
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Applied Linear Regression (Wiley Series in Probability and Statistics)
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Logistic Regression Using the SAS System : Theory and Application
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Survival Analysis Using SAS: A Practical Guide
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Applied Regression Analysis (Wiley Series in Probability and Statistics)
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Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)
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Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics)
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Applied logistic regression (Wiley Series in probability and statistics)
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Applied Multivariate Statistical Analysis (6th Edition)
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An Intermediate Course in Probability
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Testing Statistical Hypotheses (Springer Texts in Statistics)
Author: E.L. Lehmann
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An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)
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Numerical Optimization
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Logistic Regression Using the SAS System: Theory and Application
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Advanced Log-Linear Models Using SAS
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Probability & Measure Theory, Second Edition
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Statistical Methods
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An Introduction to Generalized Linear Models, Third Edition (Texts in Statistical Science Series)
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Analysis of Longitudinal Data
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An Introduction to Generalized Linear Models, Second Edition
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Plane Answers to Complex Questions: The Theory of Linear Models
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Introduction to Graphical Modelling
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Dynamic Regression Models for Survival Data (Statistics for Biology and Health)
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Analysis of Variance, Design, and Regression: Applied Statistical Methods
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Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS and R Examples (Springer Series in Statistics)
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Linear Models: Least Squares and Alternatives (Springer Series in Statistics)
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Local Regression and Likelihood (Statistics and Computing)
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Nonparametric Curve Estimation: Methods, Theory and Applications (Springer Series in Statistics)
Author: Sam Efromovich
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