Treats the topics of multiple comparisons, simultaneous and selective inference from avariety of different perspectives. The need for a systematic treatment ...

The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability ...

Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to ...

Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical ...

Mathematical Music offers a concise and easily accessible history of how mathematics was used to create music. The story presented in this short, engaging ...

Designed for researchers primarily interested in what their data are revealing, this book presents statistical methods without burdening readers with ...

Beyond calculus, the world of mathematics grows increasingly abstract and places new and challenging demands on those venturing into that realm. As the ...

Fuzzy social choice theory is useful for modeling the uncertainty and imprecision prevalent in social life yet it has been scarcely applied and studied ...

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models, such as ...

This book examines engineering and mathematical models for documenting and approving mechanical and environmental discharges. The author emphasizes engineering ...