Stochastic Processes with R : An Introduction
Olga (California State University, Long Beach, USA) Korosteleva
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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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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 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 (University of Potsdam, Germany) Liero
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Introduction to Multivariate Analysis : Linear and Nonlinear Modeling
Sadanori Konishi
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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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Probability and Statistical Inference : From Basic Principles to Advanced Models
Miltiadis C. (Imperial College London, United Kingdom) Mavrakakis
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Miltiadis C. Mavrakakis
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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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Geographic Data Science with Python
Sergio Rey
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Time Series : A First Course with Bootstrap Starter
Tucker S. McElroy
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Graphics for Statistics and Data Analysis with R
Kevin J. Keen
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Graphics for Statistics and Data Analysis with R
Kevin J. Keen
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Miltiadis C. Mavrakakis
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Nonparametric Statistical Methods Using R
John Kloke
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Time Series : A First Course with Bootstrap Starter
Tucker S. McElroy
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