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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Beyond Multiple Linear Regression : Applied Generalized Linear Models And Multilevel Models in R
Paul Roback
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Stochastic Processes with R : An Introduction
Olga (California State University, Long Beach, USA) Korosteleva
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Practical Statistics for Medical Research
Douglas G. Altman
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Statistical Rethinking : A Bayesian Course with Examples in R and Stan
Richard McElreath
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Practical Multivariate Analysis
Abdelmonem Afifi
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Statistics in Engineering : With Examples in MATLAB(R) and R, Second Edition
Andrew Metcalfe
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Statistics in Engineering : With Examples in MATLAB(R) and R, Second Edition
Andrew Metcalfe
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Introduction to the Theory of Statistical Inference
Hannelore Liero
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Randomization, Bootstrap and Monte Carlo Methods in Biology
Bryan F.J. (University of Otago, Dunedin, New Zealand) Manly
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Add to BasketProbability and Statistical Inference : From Basic Principles to Advanced Models
Miltiadis C. (Imperial College London, United Kingdom) Mavrakakis
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Miltiadis C. Mavrakakis
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Surrogates : Gaussian Process Modeling, Design, and Optimization for the Applied Sciences
Robert B. (Virginia Tech Department of Statistics, USA) Gramacy
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Introduction to Multivariate Analysis : Linear and Nonlinear Modeling
Sadanori Konishi
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Time Series : Modeling, Computation, and Inference, Second Edition
Raquel (University of California, Santa Cruz, California, USA) Prado
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Models for Multi-State Survival Data : Rates, Risks, and Pseudo-Values
Per Kragh Andersen
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Models for Multi-State Survival Data : Rates, Risks, and Pseudo-Values
Per Kragh Andersen
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Geographic Data Science with Python
Sergio Rey
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Sergio Rey
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The BUGS Book : A Practical Introduction to Bayesian Analysis
David Lunn
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Statistical Methods for Spatial Data Analysis
Oliver (SAS Institute Inc., Cary, North Carolina, USA S Schabenberger
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