Statistical Distributions

Merran Evans; Nicholas Hastings; Brian Peacock

ISBN 10: 0471559512 / ISBN 13: 9780471559511

Published by Wiley-Interscience, 1993

About this Item

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Seller Inventory # G0471559512I3N00

Bibliographic Details

• Title: Statistical Distributions
• Publisher: Wiley-Interscience
• Publication Date: 1993
• Language: English
• ISBN 10: 0471559512
• ISBN 13: 9780471559511
• Binding: Paperback
• Edition: 2nd Edition
• Condition: Good
• Dust Jacket Condition: No Jacket
• Weight: 0.5 pounds

About this title

Synopsis

Updated to include 39 of the major probability distributions. Presents key formulas, tables and diagrams for each distribution in a clear, concise format. Provides additional material on variate relationships, estimation and computing. Contains bibliography and Table of Computing References. Employs a consistent nomenclature system.

From the Back Cover

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.