Statistics and Probabilities

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

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Modeling and Optimization: Theory and Applications

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Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains

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Modeling Online Auctions

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Modeling and Analysis of Compositional Data

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

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Quantitative Finance

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Modern Analysis of Customer Surveys: with Applications using R

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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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Matrix Differential Calculus with Applications in Statistics and Econometrics

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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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A Guide to Business Statistics

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Model Identification and Data Analysis

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Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment

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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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Introduction to Stochastic Processes and Simulation

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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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