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Statistical methods for reliability data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical methods for reliability data /William Q. Meeker, Luis A. Escobar, Francis G. Pascual.
Author:	Meeker, William Q.,
other author:	Escobar, Luis A.,
Published:	Hoboken, NJ :John Wiley & Sons, Inc.,2022.
Description:	xxxvii, 659 p. :ill. ;27 cm.
Subject:	Reliability (Engineering)Statistical methods.
ISBN:	9781118115459 :

Statistical methods for reliability data /
Meeker, William Q.,

Statistical methods for reliability data /William Q. Meeker, Luis A. Escobar, Francis G. Pascual. - 2nd ed. - Hoboken, NJ :John Wiley & Sons, Inc.,2022. - xxxvii, 659 p. :ill. ;27 cm. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references (p. 622-645) and index.

"This book improves Meeker and Escobar (1998, Wiley) not only in terms of organization and presentation, but also in extensions and modifications to the technical material. It presents state-of-the-art, computer-based statistical methods for reliability data analysis and for test planning of industrial products. It also improves long time established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. Bayesian methods in solving practical problems (e.g. models involving random effects or censoring that arises in reliability studies) are now incorporated where appropriate; the computations are done with WinBUGS. Ample exercises that extend and strengthen the concepts in the book are included. The criterion for integrating material in the book is that the authors have in-hand or have seen real applications for the methodology. The book is specifically geared for a one-semester course on the topic in either a statistics or engineering department at either the upper-undergraduate or beginning graduate levels. R functions and subroutines, along with an extensive list of data sets, are included on a massive web site that is meticulously maintained by the authors"--

ISBN: 9781118115459 :NT$4375

LCCN: 2021040763Subjects--Topical Terms:

182571
Reliability (Engineering)
--Statistical methods.

LC Class. No.: TS173 / .M44 2022

Dewey Class. No.: 620/.00452

Statistical methods for reliability data /
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003 OCoLC
005 20250620014044.0
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010 $a 2021040763
020 $a 9781118115459 : $c NT$4375
020 $a 1118115457
020 $z 9781118594599 (Adobe : ebook)
020 $z 9781118594483 (epub)
035 $a (OCoLC)1266201473
035 $a on1266201473
040 $a DLC $b eng $c DLC $d OCLCO $d OCLCF $d VA@ $d OCLCO $d YDX $d KUK $d OCLCA $d OCLCL $d IG#
042 $a pcc
050 0 0 $a TS173 $b .M44 2022
082 0 0 $a 620/.00452 $2 23
100 1 $a Meeker, William Q., $e author. $3 989886
245 1 0 $a Statistical methods for reliability data / $c William Q. Meeker, Luis A. Escobar, Francis G. Pascual.
250 $a 2nd ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, Inc., $c 2022.
300 $a xxxvii, 659 p. : $b ill. ; $c 27 cm.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references (p. 622-645) and index.
520 $a "This book improves Meeker and Escobar (1998, Wiley) not only in terms of organization and presentation, but also in extensions and modifications to the technical material. It presents state-of-the-art, computer-based statistical methods for reliability data analysis and for test planning of industrial products. It also improves long time established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. Bayesian methods in solving practical problems (e.g. models involving random effects or censoring that arises in reliability studies) are now incorporated where appropriate; the computations are done with WinBUGS. Ample exercises that extend and strengthen the concepts in the book are included. The criterion for integrating material in the book is that the authors have in-hand or have seen real applications for the methodology. The book is specifically geared for a one-semester course on the topic in either a statistics or engineering department at either the upper-undergraduate or beginning graduate levels. R functions and subroutines, along with an extensive list of data sets, are included on a massive web site that is meticulously maintained by the authors"-- $c Provided by publisher.
650 0 $a Reliability (Engineering) $x Statistical methods. $3 182571
700 1 $a Escobar, Luis A., $e author. $3 989887
700 1 $a Pascual, Francis G. $q (Francis Garcia), $e author. $3 989888
776 0 8 $i Online version: $a Meeker, William Q. $t Statistical methods for reliability data $b Second edition. $d Hoboken, NJ : Wiley, 2022 $z 9781118594599 $w (DLC) 2021040764
830 0 $a Wiley series in probability and statistics. $3 324851