Statistical Distributions (eBook)

CATHERINE FORBES, PhD, is Senior Lecturer in the Department of Econometrics and Business Statistics at Monash University (Australia). With experience as a statistical consultant for business, manufacturing industries, and social welfare agencies, her research focuses on the areas of Bayesian econometrics, financial modeling, time series analysis, and model selection. MERRAN EVANS, PhD, is Professor and Pro Vice-Chancellor (Planning and Quality) at Monash University. Dr. Evans has over thirty years of academic experience in the fields of statistics and econometrics. NICHOLAS HASTINGS, PhD, is Director and Principal Consultant in physical asset management at Albany Interactive Pty Ltd. Dr. Hastings has published extensively in the areas of engineering management and asset management. BRIAN PEACOCK, PhD, is Founder of Brian Peacock Ergonomics (BPE) Pte. Ltd., a Singapore-based firm that offers ergonomics and human factors education, training, and consulting services. He has previously held consulting positions at General Motors Company and the National Space Biomedical Research Institute/NASA.

"Overall, an excellent book for readers interested in qualitative
data analysis. Highly recommended. Upper-division undergraduates
through professionals." (Choice, 1 October 2011)



"This new edition continues to illustrate the application of
statistical methods to research across various disciplines,
including medicine, engineering, business/finance, and the social
sciences. Thoroughly revised and updated, the authors have
refreshed this book to reflect the changes and current trends in
statistical distribution theory that have occured since the
publication of the previous edition eight years ago . . . key facts
and formulas for forty major probability distributions are
presented, making the book an ideal introduction to the general
theory of statistical distributions as well as a quick reference on
its basic principles". (MyCFO, 22 December 2010)

"This new edition continues to illustrate the application of
statistical methods to research across various disciplines,
including medicine, engineering, business/finance, and the social
sciences. Thoroughly revised and updated, the authors have
refreshed this book to reflect the changes and current trends in
statistical distribution theory that have occured since the
publication of the previous edition eight years ago. The
introductory chapters introduce the fundamental concepts of the
distributions and the relationships between variables. For each
distribution that follows, the key formulae, tables and diagrams
are presented in a concise, user-friendly format. Key facts and
formulas for forty major probability distributions are presented,
making the book an ideal introduction to the general theory of
statistical distributions as well as a quick reference on its basic
principles". (MyCFO, 22 December 2010)