Advanced Issues in Partial Least Squares Structural Equation Modeling
Joe (University of South Alabama, USA) Hair
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Statistical Methods for the Social Sciences, Global Edition
Alan Agresti
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Statistics for Business and Economics
David (University of Cincinnati) Anderson
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Discovering Statistics Using R
Andy Field
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Principles and Practice of Structural Equation Modeling, Fifth Edition
Rex B Kline
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Model-Based Machine Learning
John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn
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Graph Theory and Additive Combinatorics : Exploring Structure and Randomness
Yufei (Massachusetts Institute of Technology) Zhao
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Introduction to Probability Models
Sheldon M. (Professor, Department of Industrial and Systems Engi Ross
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Machine Learning for Factor Investing : Python Version
Guillaume Coqueret
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An Introduction to R and Python for Data Analysis : A Side-By-Side Approach
Taylor R. (University of Virginia) Brown
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Biostatistics for the Biological and Health Sciences, Global Edition
Mario Triola
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Modelling Survival Data in Medical Research
David (UK Transplant, Bristol, UK) Collett
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Spatial Linear Models for Environmental Data
Dale L. (Dept. of Statistics, University of Iowa) Zimmerman
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Spatial Linear Models for Environmental Data
Dale L. (Dept. of Statistics, University of Iowa) Zimmerman
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Introduction to the New Statistics : Estimation, Open Science, and Beyond
Geoff Cumming
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Nonparametric Statistical Methods Using R
John Kloke
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Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
E. Michael Nussbaum
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Set, Measure and Probability Theory
Marcelo S. Alencar
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Set, Measure and Probability Theory
Marcelo S. Alencar
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Foundations of Data Science with Python
John M. Shea
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Foundations of Data Science with Python
John M. Shea
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Introduction to the New Statistics : Estimation, Open Science, and Beyond
Geoff Cumming
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Introduction to the New Statistics : Estimation, Open Science, and Beyond
Geoff Cumming
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