000			04927nam a22006135i 4500
001			978-0-387-48538-6
003			DE-He213
005			20161121231122.0
007			cr nn 008mamaa
008			100423s2007 xxu| s |||| 0|eng d
020			_a9780387485386 _9978-0-387-48538-6
024	7		_a10.1007/978-0-387-48538-6 _2doi
050		4	_aQA76.76.R44
050		4	_aTK5105.5956
072		7	_aUYD _2bicssc
072		7	_aUKR _2bicssc
072		7	_aCOM067000 _2bisacsh
082	0	4	_a004.24 _223
100	1		_aSaunders, Sam C. _eauthor.
245	1	0	_aReliability, Life Testing and the Prediction of Service Lives _h[electronic resource] : _bFor Engineers and Scientists / _cby Sam C. Saunders.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_aXIV, 308 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Statistics, _x0172-7397
505	0		_aRequisites -- Elements of Reliability -- Partitions and Selection -- Coherent Systems -- Applicable Life Distributions -- Philosophy, Science, and Sense -- Nonparametric Life Estimators -- Weibull Analysis -- Examine Data, Diagnose and Consult -- Cumulative Damage Distributions -- Analysis of Dispersion -- Damage Processes -- Service Life of Structures -- Strength and Durability -- Maintenance of Systems -- Mathematical Appendix.
520			_aThis 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. Yet tutorial problems of this nature are virtually never encountered in coursework. 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. Most reliability practitioners will be employed where personal interaction between disciplines is a necessity. A section is included on communication skills to facilitate model selection and formulation based on verifiable assumptions, rather than favorable conclusions. However, whether the answer is "right" can never be ascertained. Past and current applications of stochastic modeling to life-length can only be a guide for future adaptations under different conditions, with new materials in unknown usages. This book unifies the study of cumulative-damage distributions, namely, Wald and Tweedie (i.e., inverse-Gaussian and its reciprocal) with "fatigue-life." These distributions are most useful when the coefficient-of-variation is more appropriate than is the variance as a measure of dispersion. It is shown, uniquely, that the same hyperbolic-sine transformation of each life length variate has a Chi-square one-df distribution. This property is useful in the sample statistics. These IHRA distributions realistically model life-length, strength or duration of load under linear cumulative damage and can be combined as approximations in non-linear situations. Sam C. Saunders has served as a research engineer for 17 years at the Boeing Scientific Research Laboratories, 20 years as a consultant to the Advisory Committee for Nuclear Safeguards, 10 years as a consultant to NIST, was a principal in the consulting firms Mathematical Analysis Research Corporation and Scientific Consulting Service; and was for 26 years a professor of Applied Mathematics/Statistics at Washington State University. He is a Fellow of the American Statistical Association and a former editor of Technometrics.
650		0	_aComputer science.
650		0	_aComputer software _xReusability.
650		0	_aProbabilities.
650		0	_aStatistics.
650		0	_aEngineering.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aQuality control.
650		0	_aReliability.
650		0	_aIndustrial safety.
650	1	4	_aComputer Science.
650	2	4	_aPerformance and Reliability.
650	2	4	_aEngineering, general.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aQuality Control, Reliability, Safety and Risk.
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650	2	4	_aProbability Theory and Stochastic Processes.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387325224
830		0	_aSpringer Series in Statistics, _x0172-7397
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-48538-6
912			_aZDB-2-SMA
950			_aMathematics and Statistics (Springer-11649)
999			_c508875 _d508875