00000cmm a22000004i 4500 UP-99796217611190770 Buklod 20140422081853.0 m go j cr cn |||aaaaa 110211s2011 xxk u | eng d 9780857291189 (eBook) 0857291181 (eBook) (iLib)UPD-00214607628 DLC DML eng DMLUC TA 169 A67 2011eb Applied nonparametric statistics in reliability [electronic resource] M. Luz Gamiz... [et al.]. London New York Springer c2011. 1 online resource (xiii, 230 p.) Springer series in reliability engineering IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Nonparametric 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. Electronic reproduction. New York Springerlink 2011. Available via World Wide Web through SpringerLink. Reliability (Engineering) Statistical methods. Electronic books. Gamiz, M. Luz. SpringerLink (Online service). Available for the University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-0-85729-118-9 FO Monograph UPD DMLR Electronic Resource