Statistical methods for reliability data:
"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 in...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ
Wiley
2022
|
Ausgabe: | Second edition |
Schriftenreihe: | Wiley series in probability and statistics
|
Schlagworte: | |
Zusammenfassung: | "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"-- |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | xxxvii, 659 Seiten Illustrationen |
ISBN: | 9781118115459 |
Internformat
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520 | 3 | |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"-- | |
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Datensatz im Suchindex
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adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Meeker, William Q. 1949- Escobar, Luis A. Pascual, Francis G. |
author_GND | (DE-588)1147519641 (DE-588)170197107 |
author_facet | Meeker, William Q. 1949- Escobar, Luis A. Pascual, Francis G. |
author_role | aut aut aut |
author_sort | Meeker, William Q. 1949- |
author_variant | w q m wq wqm l a e la lae f g p fg fgp |
building | Verbundindex |
bvnumber | BV048369621 |
callnumber-first | T - Technology |
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callnumber-subject | TS - Manufactures |
classification_rvk | ZG 9270 |
classification_tum | MAT 620 |
ctrlnum | (OCoLC)1344253771 (DE-599)KXP176826791X |
discipline | Technik Mathematik |
discipline_str_mv | Technik |
edition | Second edition |
format | Book |
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id | DE-604.BV048369621 |
illustrated | Illustrated |
index_date | 2024-07-03T20:16:12Z |
indexdate | 2024-09-05T00:04:11Z |
institution | BVB |
isbn | 9781118115459 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033748681 |
oclc_num | 1344253771 |
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owner_facet | DE-83 DE-91G DE-BY-TUM |
physical | xxxvii, 659 Seiten Illustrationen |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | Wiley |
record_format | marc |
series2 | Wiley series in probability and statistics |
spelling | Meeker, William Q. 1949- Verfasser (DE-588)1147519641 aut Statistical methods for reliability data William 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 Second edition Hoboken, NJ Wiley 2022 xxxvii, 659 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Wiley series in probability and statistics Includes bibliographical references 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"-- Zuverlässigkeitstheorie (DE-588)4195525-0 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Reliability (Engineering) / Statistical methods Statistik (DE-588)4056995-0 s Zuverlässigkeitstheorie (DE-588)4195525-0 s Datenanalyse (DE-588)4123037-1 s DE-604 Escobar, Luis A. Verfasser (DE-588)170197107 aut Pascual, Francis G. Verfasser aut Erscheint auch als Online-Ausgabe, pdf 978-1-118-59459-9 Erscheint auch als Online-Ausgabe, epub 978-1-118-59448-3 Erscheint auch als Online-Ausgabe Meeker, William Q Statistical methods for reliability data Hoboken, NJ : Wiley, 2022 |
spellingShingle | Meeker, William Q. 1949- Escobar, Luis A. Pascual, Francis G. Statistical methods for reliability data Zuverlässigkeitstheorie (DE-588)4195525-0 gnd Datenanalyse (DE-588)4123037-1 gnd Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)4195525-0 (DE-588)4123037-1 (DE-588)4056995-0 |
title | Statistical methods for reliability data |
title_auth | Statistical methods for reliability data |
title_exact_search | Statistical methods for reliability data |
title_exact_search_txtP | Statistical methods for reliability data |
title_full | Statistical methods for reliability data William 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 |
title_fullStr | Statistical methods for reliability data William 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 |
title_full_unstemmed | Statistical methods for reliability data William 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 |
title_short | Statistical methods for reliability data |
title_sort | statistical methods for reliability data |
topic | Zuverlässigkeitstheorie (DE-588)4195525-0 gnd Datenanalyse (DE-588)4123037-1 gnd Statistik (DE-588)4056995-0 gnd |
topic_facet | Zuverlässigkeitstheorie Datenanalyse Statistik |
work_keys_str_mv | AT meekerwilliamq statisticalmethodsforreliabilitydata AT escobarluisa statisticalmethodsforreliabilitydata AT pascualfrancisg statisticalmethodsforreliabilitydata |