Reliability analysis comprises statistical analysis techniques that make inferences based on
life time data. Swift progress has been observed in life time data analyses during the last few …

In statistical methodologies of life time analyses accelerated life testing (ALT) has a
significant importance. In accelerated life testing the measurements of life times are …

In accelerated life testing approaches lifetime data are obtained under various conditions
which are considered more severe than the usual condition. Classical analysis techniques …

Real life time data are usually more or less fuzzy. Therefore it is necessary to generalize
statistical estimation of the reliability characteristics. For life time data in form of fuzzy …

Besides errors and stochastic variation, the observed data always have more or less
imprecision. In contrast, classical statistical procedures are based on precise measurements …

Accelerated life testing (ALT) often is the only realistic method to obtain information on life
time distributions at usual stress. Real continuous life time data are always more or less non …

Life time data analysis is regarded as one of the significant out-shoots of statistics. Classical
statistical techniques reckon life time observations as precise numbers and solely cover …

Reliability analysis is one of the significant applications of statistics. Many parametric and
non-parametric techniques are available for reliability estimation based on precise life time …

Lifetime data are important in reliability analysis. Classical reliability estimation is based on
precise lifetime data. It is usually assumed that observed lifetime data are precise real …

Recent developments in measurement science show that continuous measurements are no
more precise numbers but more or less imprecise and are called fuzzy. Therefore, to utilize …