Statistical Distributions (eBook)

Catherine Forbes, Merran Evans, Nicholas Hastings, Brian Peacock (Autoren)

eBook Download: EPUB

2011 | 4. Auflage
230 Seiten
John Wiley & Sons (Verlag)
978-1-118-09782-3 (ISBN)

Infos

A new edition of the trusted guide on commonly used statistical
distributions

Fully updated to reflect the latest developments on the topic,
Statistical Distributions, Fourth Edition continues to serve
as an authoritative guide on the application of statistical methods
to research across various disciplines. The book provides a concise
presentation of popular statistical distributions along with the
necessary knowledge for their successful use in data modeling and
analysis.

Following a basic introduction, forty popular distributions are
outlined in individual chapters that are complete with related
facts and formulas. Reflecting the latest changes and trends in
statistical distribution theory, the Fourth Edition
features:

* A new chapter on queuing formulas that discusses standard
formulas that often arise from simple queuing systems

* Methods for extending independent modeling schemes to the
dependent case, covering techniques for generating complex
distributions from simple distributions

* New coverage of conditional probability, including conditional
expectations and joint and marginal distributions

* Commonly used tables associated with the normal (Gaussian),
student-t, F and chi-square distributions

* Additional reviewing methods for the estimation of unknown
parameters, such as the method of percentiles, the method of
moments, maximum likelihood inference, and Bayesian inference

Statistical Distributions, Fourth Edition is an excellent
supplement for upper-undergraduate and graduate level courses on
the topic. It is also a valuable reference for researchers and
practitioners in the fields of engineering, economics, operations
research, and the social sciences who conduct statistical
analyses.

Autor

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.

Rezensionen

"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)

Produkt-Details

• Erscheint lt. Verlag: 21.3.2011
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Electrical & Electronics Engineering • Electrical Engineering Special Topics • Elektrotechnik • Elektrotechnik u. Elektronik • Spezialthemen Elektrotechnik • Statistics • Statistics - Text & Reference • Statistik • Statistik / Lehr- u. Nachschlagewerke
• ISBN-10: 1-118-09782-3 / 1118097823
• ISBN-13: 978-1-118-09782-3 / 9781118097823