Mathematical Statistics : Basic Ideas and Selected Topics, Volume II
Peter J. Bickel
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Analysis of Variance, Design, and Regression : Linear Modeling for Unbalanced Data, Second Edition
Ronald Christensen
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Sampling : Design and Analysis
Sharon L. Lohr
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Bayesian Networks : With Examples in R
Marco (Istituto Dalle Molle) Scutari
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Foundations of Statistics for Data Scientists : With R and Python
Alan Agresti
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Modern Data Science with R
Benjamin S. (Smith College, Northhampton, MA) Baumer
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Practical Multivariate Analysis
Abdelmonem (University of California, Los Angeles, USA) Afifi
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Design and Analysis of Experiments and Observational Studies using R
Nathan (University of Toronto, Canada) Taback
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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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Graphics for Statistics and Data Analysis with R
Kevin J. (University of Northern British Columbia, Prince George Keen
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Stochastic Processes with R : An Introduction
Olga (California State University, Long Beach, USA) Korosteleva
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Modelling Survival Data in Medical Research
David (UK Transplant, Bristol, UK) Collett
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Spatio–Temporal Methods in Environmental Epidemiology with R
Gavin Shaddick
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Models for Multi-State Survival Data : Rates, Risks, and Pseudo-Values
Per Kragh (Biostatistics, University of Copenhagen) Andersen
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Markov Chain Monte Carlo : Stochastic Simulation for Bayesian Inference, Second Edition
Dani (University Federal Do Rio de Janeiro, Brazil) Gamerman
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Modelling Binary Data
David (UK Transplant, Bristol, UK) Collett
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Understanding Advanced Statistical Methods
Peter (Texas Tech University, Lubbock, TX, USA) Westfall
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Logistic Regression Models
Joseph M. (California Institute of Technology, Pasadena, and Ar Hilbe
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Bayesian Ideas and Data Analysis : An Introduction for Scientists and Statisticians
Ronald Christensen
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Introduction to General and Generalized Linear Models
Henrik (Technical University Denmark, Lyngby, Denmark) Madsen
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Introduction to Statistical Methods for Clinical Trials
Thomas D. Cook
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