Tuesday, November 23, 2010

Reliability, Life Testing and the Prediction of Service Lives

Reliability, Life Testing and the Prediction of Service Lives



Author: Sam C. Saunders
Edition: 2007
Publisher: Springer
Binding: Hardcover
ISBN: 0387325220



Reliability, Life Testing and the Prediction of Service Lives: For Engineers and Scientists (Springer Series in Statistics)


This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Medical books Reliability, Life Testing and the Prediction of Service Lives. Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant Medical books Reliability, Life Testing and the Prediction of Service Lives .... Reliability, Life Testing and the Prediction of Service Lives SPRIV 9781441921888 09781441921888

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Reliability, Life Testing and the Prediction of Service Lives SPRIV 9781441921888 09781441921888

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This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used.

Categories: Mathematical statistics, Reliability (Engineering)->Mathematical models, Reliability (Engineering)->Statistical methods. Contributors: Sam C. Saunders - Author. Format: Hardcover



Medical Book Reliability, Life Testing and the Prediction of Service Lives



Many persons studying statistical science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used.

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