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Applied Nonparametric Statistics in Reliability (Paperback, 2011 ed.)
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Applied Nonparametric Statistics in Reliability (Paperback, 2011 ed.)
Series: Springer Series in Reliability Engineering
Expected to ship within 10 - 15 working days
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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 (R). 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.
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