Statistics and Probabilities

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Pairwise Multiple Comparisons: Theory and Computation

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Methodological Developments in Data Linkage

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Methodology of Longitudinal Surveys

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Risk Assessment: Theory, Methods, and Applications

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Statistics in Nutrition and Dietetics

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Probability with R: An Introduction with Computer Science Applications

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

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Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods

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Nonparametric Statistical Process Control

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Theory of Ridge Regression Estimation with Applications

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Reliability and Statistics in Transportation and Communication

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Testing Statistical Assumptions in Research

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Statistical Analysis with Missing Data

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SAS for R Users: A Book for Data Scientists

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Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications

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Modern Industrial Statistics: with applications in R, MINITAB and JMP

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Practical Applications Of Bayesian Relia

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Advanced Statistics with Applications in R

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Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science

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Introduction to Scilab: For Engineers and Scientists

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Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers

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Multivariate Time Series Analysis and Applications

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Probably Not: Future Prediction Using Probability and Statistical Inference

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Statistics in Environmental Sciences

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Research Design and Analysis: A Primer for the Non-Statistician

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Statistical Physics for Electrical Engineering

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A Basic Course in Probability Theory

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Dynamics of Statistical Experiments

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Python for Probability, Statistics, and Machine Learning

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Statistical Rethinking: A Bayesian Course with Examples in R and STAN

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