Statistical Models in Engineering

Hahn, Gerald J.; & Samuel S. Shapiro

ISBN 10: 0471339156 / ISBN 13: 9780471339151

Published by John Wiley & Sons, Inc., New York, 1967

About this Item

New York: John Wiley & Sons, Inc., 1967. A square, tight copy in scarce Dust Jacket. No owner's name or bookplate. No remainder mark. Pages are clean and crisp. No underlining. No highlighting. No margin notes. Amply illustrated by numerical examples. Numerous appendices. Tables. Categorized Bibliography. Index. Scarce in original pictorial Dust Jacket. Bound in the original bright red cloth, lettered in gold. From the Dust Jacket: "The practical application of numerous models, including the normal, exponential, gamma, beta, Weibull and extreme value distributions, is considered in detail. Such important subjects as variable transformations, the use of empirical distributions, statistical error analysis, Monte Carlo simulation, probability plotting and analytic tests for distributional assumptions are covered in unusual detail." From the Preface: "Our main purpose is to show the engineer responsible for a product whose performance is subject to chance fluctuations how to choose a reasonable statistical model and how to use this model in the evaluation of practical problems." A volume in the Wiley Series on Systems Engineering and Analysis (Harold Chestnut, Editor). . First Edition. Hard Cover in Slipcase (box). Near Fine condition/VG Jacket (1 tiny edge chip). 8vo. xviii, 355pp.

Seller Inventory # 004705

Bibliographic Details

• Title: Statistical Models in Engineering
• Publisher: John Wiley & Sons, Inc., New York
• Publication Date: 1967
• Language: English
• ISBN 10: 0471339156
• ISBN 13: 9780471339151
• Binding: Hardcover
• Edition: First Edition.
• Condition: Near Fine condition
• Dust Jacket Condition: VG Jacket (1 tiny edge chip)
• Seller catalogs:
  • Science / Technology / Computers

About this title

Synopsis

A detailed treatment on the use of statistical models representing physical phenomena. Considers the relevance of the popular normal distribution models and the applicability of exponential distribution in reliability problems. Introduces and discusses the use of alternate models such as gamma, beta and Weibull distributions. Features expansive coverage of system performance and describes an exact method known as the transformation of variables. Deals with techniques on assessing the adequacy of a chosen model including both graphical and analytical procedures. Contains scores of illustrative examples, most of which have been adapted from actual problems.