Statistics and Probabilities

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Essential Analytics for Hospital Managers: A Guide to Statistical Problem Solving

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Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

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Computational Bayesian Statistics: An Introduction

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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

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Adjustment Computations: Spatial Data Analysis

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Advanced Analytics and AI: Impact, Implementation, and the Future of Work

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Elements of Copula Modeling with R (Use R!)

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Semiparametric Regression with R (Use R!)

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Simulation and Inference for Stochastic Processes with YUIMA: A Comprehensive R Framework for SDEs and Other Stochastic Processes (Use R!)

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Singular Spectrum Analysis with R (Use R!)

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Optimization of Manufacturing Processes

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A Matrix Handbook for Statisticians

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Applied Statistics: Theory and Problem Solutions with R

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Introduction to Statistics in Human Performance: Using SPSS and R

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Data Analysis: What Can Be Learned From the Past 50 Years

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Stochastic Disorder Problems

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Introduction to Probability: Models and Applications

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Data Mining and Statistics for Decision Making

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Data Science Using Python and R

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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence

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Meta-Analysis: A Structural Equation Modeling Approach

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Methods of Multivariate Analysis

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Mixtures: Estimation and Applications

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Lectures on Quantum Statistics: With Applications to Dilute Gases and Plasmas

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A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond

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Applied Directional Statistics: Modern Methods and Case Studies

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An Accidental Statistician: The Life and Memories of George E. P. Box

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Statistical Mechanics of Classical and Disordered Systems: Luminy, France, August 2018

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Applied Bayesian Modelling

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Ensemble Classification Methods with Applications in R

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