Wavelets provide the ability to describe local phenomena more accurately, especially where time and movement are vital, such as acoustics and seismic signals and in image analysis. Carefully balancing both statistical and mathematical techniques, this text is intended for use as part of an introductory course concerned with the interface of wavelets and statistical inference. It incorporates examples and applications, numerous computational exercises and problem/homework sets, and extensive references at the end of each chapter. Several novel and important wavelet applications in statistics...

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working with modern life and health sciences research

Data collection holds an essential part in dictating the future of health sciences and public health, as the compilation of statistics allows researchers and medical practitioners to monitor trends in health status, identify health problems, and evaluate the impact of health policies and programs. Methods and Applications of Statistics in the Life and Health Sciences serves as a...

This book examines multiple classes of random processes from the standpoints of statistical analysis, inference, and modeling. It describes several traditional models (fGn, fBm, mBm, ARFIMA, multiplicative cascades) and their appropriateness for modeling measured processes; offers brief discussions on ways to stimulate traditional processes and fit them to the data; and uses case studies to emphasize the real-life applicability of the subject matter. Accessible to anyone with a background in advanced calculus and algebra, this book is perfect for statisticians and engineers seeking a...

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software familiar to engineers.

Provides a one-stop resource for engineers learning VIDAKOVIC biostatistics using MATLAB(R) and WinBUGS

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields while implementing software packages that are familiar to engineers. The book is heavily oriented to computation and hands-on approaches so readers understand each step of the programming. Another dimension of this book is in parallel coverage of both Bayesian and frequentist approaches to statistical inference. It avoids taking sides on...