Design and Analysis of Experiments with R
John (Brigham Young University, Provo, Utah, USA) Lawson
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Statistical Rethinking : A Bayesian Course with Examples in R and Stan
Richard McElreath
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An Introduction to Generalized Linear Models
Annette J. (University of Queensland, Herston, Australia) Dobson
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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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 Methods for Data Analysis
Bradley P. (University of Minnesota, Minneapolis, Minnesota, U Carlin
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Statistics for Technology : A Course in Applied Statistics, Third Edition
Chris Chatfield
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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The Analysis of Time Series : An Introduction with R
Chris (University of Bath, UK) Chatfield
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Introduction to the Theory of Statistical Inference
Hannelore (University of Potsdam, Germany) Liero
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Bayes Rules! : An Introduction to Applied Bayesian Modeling
Alicia A. Johnson
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Generalized Additive Models : An Introduction with R, Second Edition
Simon N. Wood
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Time Series : Modeling, Computation, and Inference, Second Edition
Raquel (University of California, Santa Cruz, USA) Prado
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Statistics in Engineering : With Examples in MATLAB® and R, Second Edition
Andrew Metcalfe
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Sampling : Design and Analysis
Sharon L. Lohr
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Fundamentals of Causal Inference : With R
Babette A. Brumback
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Mathematical Statistics : Basic Ideas and Selected Topics, Volume II
Peter J. Bickel
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Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data, Second Edition
Ronald Christensen
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Modern Data Science with R
Benjamin S. (Smith College, Northhampton, MA) Baumer
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Bayesian Networks : With Examples in R
Marco (Istituto Dalle Molle) Scutari
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Foundations of Statistics for Data Scientists : With R and Python
Alan Agresti
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