MTU Cork 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 Date due Barcode Item holds
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.

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