Markov Chains: From Theory to Implementation and Experimentation

Python for Bioinformatics

Text Mining in Practice With R

Ten Great Ideas About Chance

Non-standard Parametric Statistical Inference

Probability and Statistics for Particle Physics

Stochastic Processes and Random Matrices: Lecture Notes of the Les Houches Summer School: July 2015

The Oxford Anthology of Statistics in Sports: 2000-2004

Handbook for Applied Modeling: Non-gaussian and Correlated Data

Analysis of Variance in Experimental Design

Stochastic Modelling in Physical Oceanography

Discrete Probability

A First Course in Statistics

The Practice of Statistics for Business and Economics

Probability: Questions and Answers

Elementary Statistics + Guided Workbook + Mystatlab With Pearson E-text: With Integrated Review

14th International Probabilistic Workshop

Survey Sampling Theory and Applications

Ruin Probabilities: Smoothness, Bounds, Supermartingale Approach

Analysis on Gaussian Spaces

R for Programmers: Advanced Techniques

Random Measures, Theory and Applications

Time Series Analysis: Nonstationary and Noninvertible Distribution Theory

An Introductory Course in Summability Theory

Simulation and the Monte Carlo Method

Random Walks on Reductive Groups

Banking Systems Simulation: Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion

Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB

Introduction to Bayesian Statistics

Continuous Improvement, Probability, and Statistics: Using Creative Hands-On Techniques

Introduction to Bayesian Estimation and Copula Models of Dependence

Statistical Intervals: A Guide for Practitioners and Researchers

Financial Risk Modelling and Portfolio Optimization With R

An Introduction to Excel Vba Programming: With Applications in Finance and Insurance

Flexible Regression and Smoothing: Using Gamlss in R

Optimal Sports Math, Statistics, and Fantasy

Pragmatics of Uncertainty

Time Series Analysis and Its Applications: With R Examples

Long-Range Dependence and Self-Similarity

Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

Probability Theory: A First Course in Probability Theory and Statistics

Applying Data Science: Business Case Studies Using SAS

Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation

Continuous Improvement, Probability, and Statistics: Using Creative Hands-On Techniques

Elementary Probability with Applications

Multivariate Survival Analysis and Competing Risks

Computational Actuarial Science With R

Mean Field Simulation for Monte Carlo Integration

Measures, Integrals and Martingales

The Little SAS Enterprise Guide Book

Statistical Methods for the Social Sciences

An Introduction to SAS Visual Analytics: How to Explore Numbers, Design Reports, and Gain Insight into Your Data

Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop

Cody’s Data Cleaning Techniques Using SAS

Fluke: The Math & Myth of Coincidence

Statistics: Informed Decisions Using Data

Elementary Statistics

Elementary Statistics Using Excel

Fundamentals of Statistics: Informed Decisions Using Data

Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering

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