Springer Series in Reliability Engineering

Applied Nonparametric Statistics in Reliability

Authors: Gámiz, M.L., Kulasekera, K.B., Limnios, N., Lindqvist, B.H.

  • Discusses the use of modern statistical methods for the estimation of the performance measures of reliability systems that operate under different conditions
  • Presents some numerical or simulation methods as illustrative examples where computer-based methods are implemented
  • Selects a concrete modeling scheme for each practical situation and conducts a nonparametric inference procedure
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About this book

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.

About the authors

M. Luz Gámiz is an associate professor in the Department of Statistics and Operational Research at the University of Granada, Granada, Spain.

K. B. Kulasekera is a professor and graduate program coordinator in the Department of Mathematical Sciences at Clemson University, Clemson, USA.

Nikolaos Limnios is a professor at the Université de Technologie de Compiègne, Compiègne, France.

Bo Henry Lindqvist is a professor of statistics in the Department of Mathematical Sciences at the Norwegian University of Science and Technology, Trondheim, Norway.

Table of contents (7 chapters)

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-0-85729-118-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-0-85729-117-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-4471-2634-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Applied Nonparametric Statistics in Reliability
Authors
Series Title
Springer Series in Reliability Engineering
Copyright
2011
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-0-85729-118-9
DOI
10.1007/978-0-85729-118-9
Hardcover ISBN
978-0-85729-117-2
Softcover ISBN
978-1-4471-2634-8
Series ISSN
1614-7839
Edition Number
1
Number of Pages
XIII, 230
Topics