Applied Nonparametric Statistics in Reliability / Edition 1

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 shastic 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. will serve the practical needs of scientists (statisticians and engineers) working on applied reliability subjects.