Beyond Multiple Linear Regression : Applied Generalized Linear Models And Multilevel Models in R
Paul Roback
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Nonparametric Methods in Statistics with SAS Applications
Olga Korosteleva
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Nonparametric Methods in Statistics with SAS Applications
Olga Korosteleva
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Practical Multivariate Analysis
Abdelmonem (University of California, Los Angeles, USA) Afifi
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Introduction to Multivariate Analysis : Linear and Nonlinear Modeling
Sadanori Konishi
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Bayesian Data Analysis
Andrew (Columbia University, New York, New York, USA) Gelman
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Practical Statistics for Medical Research
Douglas G. Altman
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Discrete Data Analysis with R : Visualization and Modeling Techniques for Categorical and Count Data
Michael Friendly
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Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data, Second Edition
Ronald Christensen
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Sampling Methodologies with Applications
Poduri S.R.S. (University of Rochester, Rochester, New York, USA) Rao
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Statistics for Finance
Erik (Lund University, Sweden) Lindstrom
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Statistical Rethinking : A Bayesian Course with Examples in R and Stan
Richard McElreath
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Applied Categorical and Count Data Analysis
Wan (Tulane University, New Orleans, LA) Tang
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Introduction to Multivariate Analysis : Linear and Nonlinear Modeling
Sadanori Konishi
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Applied Linear Regression for Longitudinal Data : With an Emphasis on Missing Observations
Frans E.S. Tan
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Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data, Second Edition
Ronald Christensen
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An Introduction to Generalized Linear Models
Annette J. (University of Queensland, Herston, Australia) Dobson
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Sampling Methodologies with Applications
Poduri S.R.S. (University of Rochester, Rochester, New York, USA) Rao
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Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data, Second Edition
Ronald Christensen
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Applied Linear Regression for Longitudinal Data : With an Emphasis on Missing Observations
Frans E.S. Tan
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Applied Categorical and Count Data Analysis
Wan Tang
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Applied Categorical and Count Data Analysis
Wan Tang
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An Introduction to Generalized Linear Models
Annette J. Dobson
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