000			03059nam a2200337za04500
001			17152
008			050703s2011 xxk eng d
020			_a9780857291189 99780857291189
082			_a658.56 _b223
100			_aGámiz, M. Luz. _eauthor. _934144
245			_aApplied Nonparametric Statistics in Reliability _h[electronic resource] / _cby M. Luz Gámiz, K. B. Kulasekera, Nikolaos Limnios, Bo Henry Lindqvist.
300			_aXIII, 230p. 41 illus. _bonline resource.
490			_aSpringer Series in Reliability Engineering
490			_x-1614-7839
505			_a1. Lifetime Data -- 2. Models for Perfect Repair -- 3. Models for Minimal Repair -- 4. Models for Imperfect Repair -- 5. Systems with Multi-components -- 6. Reliability of Semi - Markov Systems -- 7. Hazard Regression Analysis.
520			_aNonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet been fully explored. Applied Nonparametric Statistics in Reliability is focused on the use of modern statistical methods for the estimation of dependability measures of reliability systems that operate under different conditions. The scope of the book includes: smooth estimation of the reliability function and hazard rate of non-repairable systems; study of stochastic processes for modelling the time evolution of systems when imperfect repairs are performed; nonparametric analysis of discrete and continuous time semi-Markov processes; isotonic regression analysis of the structure function of a reliability system, and lifetime regression analysis. Besides the explanation of the mathematical background, several numerical computations or simulations are presented as illustrative examples. The corresponding computer-based methods have been implemented using R and MATLAB. A concrete modelling scheme is chosen for each practical situation and, in consequence, a nonparametric inference procedure is conducted. Applied Nonparametric Statistics in Reliability will serve the practical needs of scientists (statisticians and engineers) working on applied reliability subjects.
650			_aEngineering. _996
650			_aEngineering. _996
650			_933838 _aSTATICS FOR ENGINEERING, PHYSICS, COMPUTERS SCIENCE, CHEMISTRY AND EARTH SCIENCES
650			_933582 _aSYSTEMS SAFETY
650			_91521 _aQUALITY CONTROL, REABILITY, SAFETY AND RISK.
700			_aKulasekera, K. B. _933839
700			_eauthor. _934145
700			_aLimnios, Nikolaos. _933841
700			_eauthor. _934145
700			_aLindqvist, Bo Henry. _933842
700			_eauthor. _934145
710			_aSpringerLink (Online service) _9111
856			_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-0-85729-118-9 _yir a documento _qURL
942			_2ddc _cCF
999			_c13900 _d13900