Geographic Data Science with Python
Sergio Rey
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Theory of Statistical Inference
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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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Stochastic Processes with R : An Introduction
Olga (California State University, Long Beach, USA) Korosteleva
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The BUGS Book : A Practical Introduction to Bayesian Analysis
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Statistical Rethinking : A Bayesian Course with Examples in R and Stan
Richard McElreath
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Abdelmonem Afifi
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Statistics in Engineering : With Examples in MATLAB® and R, Second Edition
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Statistics in Engineering : With Examples in MATLAB® 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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Randomization, Bootstrap and Monte Carlo Methods in Biology
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Probability and Statistical Inference : From Basic Principles to Advanced Models
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Probability and Statistical Inference : From Basic Principles to Advanced Models
Miltiadis C. Mavrakakis
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Introduction to Multivariate Analysis : Linear and Nonlinear Modeling
Sadanori Konishi
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Geographic Data Science with Python
Sergio Rey
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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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Bryan F.J. Manly
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Bryan F.J. Manly
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Applied Statistics : Handbook of GENSTAT Analysis
E. J. Snell
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A Course in Categorical Data Analysis
Thomas Leonard
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Applied Statistics : Handbook of GENSTAT Analysis
E. J. Snell
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A Course in Categorical Data Analysis
Thomas Leonard
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