Geographic Data Science with Python
Sergio Rey
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Theory of Statistical Inference
Anthony Almudevar
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Principles of Uncertainty
Joseph B. (Carnegie Mellon University, Pittsburgh, Pennsylvani Kadane
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Time Series for Data Science : Analysis and Forecasting
Wayne A. (Southern Methodist University, Dallas, Texas, USA) Woodward
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Nonparametric Statistical Methods Using R
John Kloke
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Beyond Multiple Linear Regression : Applied Generalized Linear Models And Multilevel Models in R
Paul Roback
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Generalized Linear Mixed Models : Modern Concepts, Methods and Applications
Walter W. Stroup
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Stochastic Processes with R : An Introduction
Olga (California State University, Long Beach, USA) Korosteleva
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A First Course in Causal Inference
Peng (University of California Berkeley, U.S.A) Ding
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Practical Statistics for Medical Research
Douglas G. (University of Oxford, UK) Altman
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Nonparametric Statistical Methods Using R
John Kloke
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Nonparametric Statistical Methods Using R
John Kloke
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Practical Statistics for Medical Research
Douglas G. (University of Oxford, UK) Altman
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Bayesian Data Analysis
Andrew (Department of Statistics, Columbia University, New Yor Gelman
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The BUGS Book : A Practical Introduction to Bayesian Analysis
David (MRC Biostatistics Unit, Cambridge, UK) Lunn
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard (Max Planck Institute for Evolutionary Anthropology McElreath
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Introduction to Probability, Second Edition
Joseph K. (Harvard University, Cambridge, Massachusetts, U Blitzstein
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Epidemiology : Study Design and Data Analysis, Third Edition
Mark (Mount Sinai Medical Centre, New York, USA) Woodward
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Generalized Additive Models : An Introduction with R, Second Edition
Simon N. Wood
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Extending the Linear Model with R : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Julian J. (University of Bath, United Kingdom) Faraway
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