Probability & Statistics

In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good ...

Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in ...

In the last three decades, there has been a dramatic increase in the use of interacting particle methods as a powerful tool in real-world applicati...

Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this proble...

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introd...

In an easy-to-understand, nontechnical yet mathematically elegant manner, An Introduction to Exotic Option Pricing shows how to price exotic option...

As evidenced by the anthrax attacks in 2001, the SARS outbreak in 2003, and the H1N1 influenza pandemic in 2009, a pathogen does not recognize geog...

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always h...

Unexpected Expectations: The Curiosities of a Mathematical Crystal Ball explores how paradoxical challenges involving mathematical expectation ofte...

In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilev...

This book provides a rigorous introduction to the theory, computation, and applications of variational inequalities (VIs), with a focus on applicat...

Using a new methodology for foresight studies, this book presents new findings and policy recommendations to improve living conditions and make pro...

This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text ...

A thorough grounding in Markov chains and martingales is essential in dealing with many problems in applied probability, and is a gateway to the mo...

Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every tec...

The unique compendium starts with a simplified version of the information theory which allows any beginner in math to embrace the mysterious concep...

Brownian motion is an important topic in various applied fields where the analysis of random events is necessary. Introducing Brownian motion from ...

This textbook presents measure theory in a concise yet clear manner, providing readers with a solid foundation in the mathematical axiomatic system...

Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from...

The main report of the UKAEA (United Kingdom Atomic Energy Authority) Working Group on the Risks to Society from Potential Major Accidents, with an...

Statisticians have met the need to test hundreds or thousands of genomics hypotheses simultaneously with novel empirical Bayes methods that combine...

Find the right algorithm for your image processing applicationExploring the recent achievements that have occurred since the mid-1990s, Circular an...

Fixed Point Theory, Variational Analysis, and Optimization not only covers three vital branches of nonlinear analysisfixed point theory, variationa...

Process Capability Analysis: Estimating Quality presents a systematic exploration of process capability analysis and how it may be used to estimate...