Stochastic Processes with R : An Introduction
Olga (California State University, Long Beach, USA) Korosteleva
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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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Beyond Multiple Linear Regression : Applied Generalized Linear Models And Multilevel Models in R
Paul Roback
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Practical Statistics for Medical Research
Douglas G. Altman
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The BUGS Book : A Practical Introduction to Bayesian Analysis
David (MRC Biostatistics Unit, Cambridge, UK) Lunn
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Annette J. (University of Queensland, Herston, Australia) Dobson
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Statistics for Technology : A Course in Applied Statistics, Third Edition
Chris Chatfield
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Add to BasketThe 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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Randomization, Bootstrap and Monte Carlo Methods in Biology
Bryan F.J. (University of Otago, Dunedin, New Zealand) Manly
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Raquel (University of California, Santa Cruz, California, USA) Prado
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Geographic Data Science with Python
Sergio Rey
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Add to BasketModelling Binary Data
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Exercises and Solutions in Biostatistical Theory
Lawrence (University of North Carolina at Chapel Hill, USA) Kupper
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Statistical Regression and Classification : From Linear Models to Machine Learning
Norman Matloff
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Chris Chatfield
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Introduction to Multivariate Analysis
Chris Chatfield
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Introduction to Randomized Controlled Clinical Trials
John N.S. (The University of Newcastle, Newcastle upon Tyne, Matthews
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A Primer on Linear Models
John F. (North Carolina State University, Raleigh, USA) Monahan
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