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Probabilistic Design for Optimization and Robustness:

• Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive …

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications t …

A “how to” guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods that are used to analyze biomarker data, Analysis of Biomarker D …

This book introduces the application of microeconometric methods for modelling various aspects of economic activity for small to large size enterprises, using methods that are based on both time-seri …

R Programming for Actuarial Science Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples R Programming for Actuari …

HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems de …

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for t …

Praise for the First Edition ‘All medical statisticians involved in clinical trials should read this book…’ – Controlled Clinical Trials Featuring a unique combination of the applied aspects of ran …

The focus of this book is to understand the concepts of probability theory and stochastic processes and the techniques are exposed to analyze the situations arise from time to time in the academic an …

BUSINESS EXPERIMENTS with R A unique text that simplifies experimental business design and is dedicated to the R language Business Experiments with R offers a guide to, and explores the fundamentals …