Nonparametric Statistical Methods Using R
John Kloke
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Nonparametric Statistical Methods Using R
John Kloke
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Statistical Rethinking : A Bayesian Course with Examples in R and Stan
Richard McElreath
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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Introduction to Probability, Second Edition
Joseph K. Blitzstein
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Practical Multivariate Analysis
Abdelmonem Afifi
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Generalized Additive Models : An Introduction with R, Second Edition
Simon N. Wood
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Statistics in Engineering : With Examples in MATLAB® and R, Second Edition
Andrew Metcalfe
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Practical Statistics for Medical Research
Douglas G. (University of Oxford, UK) Altman
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Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Julian J. Faraway
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Fundamentals of Causal Inference : With R
Babette A. Brumback
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Statistics in Engineering : With Examples in MATLAB® and R, Second Edition
Andrew Metcalfe
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Bayesian Data Analysis
Andrew (Department of Statistics, Columbia University, New Yor Gelman
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Introduction to the Theory of Statistical Inference
Hannelore (University of Potsdam, Germany) Liero
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Stochastic Processes : From Applications to Theory
Pierre Del Moral
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Discrete Data Analysis with R : Visualization and Modeling Techniques for Categorical and Count Data
Michael Friendly
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Bayesian Networks : With Examples in R
Marco Scutari
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Bayesian Modeling and Computation in Python
Osvaldo A. Martin
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Bayes Rules! : An Introduction to Applied Bayesian Modeling
Alicia A. Johnson
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