Statistics for Industry and Technology / An Introduction to Lifetime Data Analysis
Applications to the Health Sciences and Industrial Processes
(Sprache: Englisch)
This book is oriented equally towards reliability, involving data analysis from engineering and the physical sciences, and survival analysis, usually related to data analysis in the biomedical sciences. Features extensive exercises using SAS and SYSTAT.
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Produktinformationen zu „Statistics for Industry and Technology / An Introduction to Lifetime Data Analysis “
This book is oriented equally towards reliability, involving data analysis from engineering and the physical sciences, and survival analysis, usually related to data analysis in the biomedical sciences. Features extensive exercises using SAS and SYSTAT.
Klappentext zu „Statistics for Industry and Technology / An Introduction to Lifetime Data Analysis “
This textbook is an introduction to lifetime data analysis aimed primarily at undergraduate and beginning graduate statistics students needing exposure to major topics of the subject, but not yet specializing in a particular application area such as engineering or the biomedical sciences. Unlike other textbooks at the same level, the work is oriented equally towards reliability and survival analysis.Featuring extensive exercises at all levels of difficulty employing well-known computing packages such as SAS and SYSTAT, the work presents real-world applications to the health sciences, manufacturing and industrial processes. The authors provide thorough explanations of methods and tests moving away from the "cookbook" approach commonly used in other textbooks at this level. A solutions manual will be available to instructors adopting the work as a course textbook.
Inhaltsverzeichnis zu „Statistics for Industry and Technology / An Introduction to Lifetime Data Analysis “
Introduction.- Basic Concepts.- Models of Lifetime Data.- Examining Lifetime Data: Nonparametric Methods.- Fitting Parametric Lifetime Models.- Regression Models: Lifetime Data with Covariates.- Cox's Semiparametric Proportional Hazards Regression Model.- Recurrent Events and Repairable Systems.- System Reliability.- Bibliography.- Index
Autoren-Porträt von N. Balakrishnan, Chrysiis Caroni
N. BALAKRISHNAN, PhD, is Professor of Mathematics and Statistics at McMaster University in Hamilton, Ontario, Canada.V. B. NEVZOROV, PhD, DS, is Professor of Probability and Statistics at St. Petersburg State University in St. Petersburg, Russia.
Bibliographische Angaben
- Autoren: N. Balakrishnan , Chrysiis Caroni
- 2016, 2016. Aufl., 236 Seiten, 50 Schwarz-Weiß-Abbildungen, 50 Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Basel
- ISBN-10: 0817646884
- ISBN-13: 9780817646882
Sprache:
Englisch
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