Applied nonparametric statistics in reliability
Author(s)
Bibliographic Information
Applied nonparametric statistics in reliability
(Springer series in reliability engineering)
Springer, c2011
Available at 2 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
NOTE:Other authors: K.B.Kulasekera, Nikolaos Limnios, Bo Henry Lindqvist
Description and Table of Contents
Description
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.
Table of Contents
1. Lifetime Data.- 2. Models for Perfect Repair.- 3. Models for Minimal Repair.- 4. Models for Imperfect Repair.- 5. Systems with Multi-components.- 6. Reliability of Semi-Markov Systems.- 7. Hazard Regression Analysis.
by "Nielsen BookData"