000			03232cam a22004098i 4500
001			22180157
003			OSt
005			20260204113221.0
008			210817s2022 nju b 001 0 eng
010			_a 2021040763
020			_a9781118115459 _q(cloth)
020			_z9781118594599 _q(adobe pdf)
020			_z9781118594483 _q(epub)
035			_a22180157
040			_beng _cFoundation University _erda
042			_apcc
050	0	0	_aTS 173 _b.2022 M44
100	1		_aMeeker, William Q., _eauthor. _914633
245	1	0	_aStatistical methods for reliability data / _cWilliam Q. Meeker, Department of Statistics, Iowa State University, Luis A. Escobar, Department of Experimental Statistics, Louisiana State University, Francis G. Pascual, Department of Mathematics and Statistics, Washington State University.
250			_aSecond edition.
263			_a2111
264		1	_aHoboken, NJ : _bWiley, _c2022. _42022
300			_3resource _axxxvi, 659 pages : _billustrations ; _c25 cm. _fvolume
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier _3resource
490	0		_aWiley series in probability and statistics
504			_aIncludes bibliographical references 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"-- _cProvided by publisher.
650		0	_aReliability (Engineering) _xStatistical methods. _914634
658			_aBusiness Administration, Doctor of : _bMultivariate Statistics ; _cDBA 601.
700	1		_aEscobar, Luis A., _eauthor. _914635
700	1		_aPascual, Francis G., _eauthor. _914636
776	0	8	_iOnline version: _aMeeker, William Q. _tStatistical methods for reliability data _bSecond edition. _dHoboken, NJ : Wiley, 2022 _z9781118594599 _w(DLC) 2021040764
856			_uhttps://drive.google.com/file/d/1lrKZNswT0qvGV3PA8MTc8gYlNvq7as6u/view?usp=sharing _yClick here to view the table of content
942			_2lcc _cBK _eSecond edition. _hTS 173 _i.2022 M44 _k(CBA-DBA)
999			_c5531 _d5531