MTU Library Catalogue

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Introductory engineering statistics / Irwin Guttman, S.S. Wilks, J. Stuart Hunter.

By: Guttman, Irwin.
Contributor(s): Wilks, S. S. (Samuel Stanley), 1906-1964 | Hunter, J. Stuart, 1923-.
Material type: materialTypeLabelBookPublisher: New York : John Wiley & Sons, 1982Edition: 3rd ed.Description: xi, 580 p. : ill. ; 25 cm. + pbk.ISBN: 0471869562.Subject(s): Engineering -- Statistical methodsDDC classification: 519.5
Contents:
Introduction -- Elements of probability -- Some important discrete distributions -- Acceptance sampling -- Description of a sample of measurements -- Probability distributions -- The normal distribution -- Acceptance sampling plans based on sampling averages and sample variances -- Estimation of population parameters -- Estimation of population parameters-the Bayesian approach -- Statistical tests -- Control charts -- Chi-square goodness of fit tests -- Order statistics -- Elements of reliability theory -- Nonparametric tests -- Regression analysis -- Analysis of variance -- Some further experimental designs and their analyses.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00008032
Total holds: 0

Enhanced descriptions from Syndetics:

An introduction to engineering applications of statistics and the elements of mathematical theory that support these applications. Expanded coverage includes an introduction to reliability theory and practice; the use of contrasts in statistical analyses, notably in the analysis of variance situations; control charts; goodness-of-fit tests; regression analysis; the design of experiments; and Bayesian inference.

Includes bibliographical references (pages 551-552) and index.

Introduction -- Elements of probability -- Some important discrete distributions -- Acceptance sampling -- Description of a sample of measurements -- Probability distributions -- The normal distribution -- Acceptance sampling plans based on sampling averages and sample variances -- Estimation of population parameters -- Estimation of population parameters-the Bayesian approach -- Statistical tests -- Control charts -- Chi-square goodness of fit tests -- Order statistics -- Elements of reliability theory -- Nonparametric tests -- Regression analysis -- Analysis of variance -- Some further experimental designs and their analyses.