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Description:
Applied Nonparametric statistics has become the leading methodology for researchers performing data analysis.
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. includes:
1.smooth estimation of the reliability function and hazard rate of non-repairable systems;
2.study of stochastic processes for modelling the time evolution of systems when imperfect repairs are performed;
3.nonparametric analysis of discrete and continuous time semi-Markov processes;
4.isotonic regression analysis of the structure function of a reliability system, andifetime regression analysis.
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.
Textbook:Applied Nonparametric Statistics in Reliability
M. Luz Gámiz-K.B.
Applied Nonparametric Statistics in Reliability .pdf
(3.7 MB, 需要: RMB 19 元)
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