Model-Based Clustering and Classification for Data Science : With Applications in R
Charles Bouveyron
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Advances in Statistical Bioinformatics : Models and Integrative Inference for High-Throughput Data
Kim-Anh Do
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Learning Microeconometrics with R
Christopher P. (Federal Trade Commission) Adams
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Mendelian Randomization : Methods for Causal Inference Using Genetic Variants
Stephen Burgess
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Fundamentals of Causal Inference : With R
Babette A. Brumback
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How to Use SPSS(R) : A Step-By-Step Guide to Analysis and Interpretation
Brian C. Cronk
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Elementary Signal Detection Theory
Thomas D. Wickens
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Principles of Mathematical Petrophysics
John H. Doveton
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Theory of Sampling and Sampling Practice, Third Edition
Francis F. Pitard
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Biostatistics for Clinical and Public Health Research
Melody S. (Washington University School of Medicine, Division Goodman
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Manufacturing Facilities : Location, Planning, and Design, Third Edition
Dileep R. Sule
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Optimal State Estimation : Kalman, H Infinity, and Nonlinear Approaches
Dan Simon
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Markov Decision Processes : Discrete Stochastic Dynamic Programming
Martin L. Puterman
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System Reliability Theory : Models and Statistical Methods
Arnljot Hoyland
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Biostatistical Methods : The Assessment of Relative Risks
John M. Lachin
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Generalized Linear Models : with Applications in Engineering and the Sciences
Raymond H. Myers
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Estimation with Applications to Tracking and Navigation : Theory Algorithms and Software
Yaakov Bar-Shalom
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Optimal Statistical Decisions
Morris H. DeGroot
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Bayesian Logical Data Analysis for the Physical Sciences : A Comparative Approach with Mathematica(R) Support
Phil Gregory
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Model Selection and Model Averaging
Gerda Claeskens
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