Commonly Used Parameters Types and Life Distributions Used to Model Reliability Data

In this paper, the author has studied that the analysis of failure time data over the years has given birth to a number of parametric models. These models were found suitable for representing a wide range of situation and particularly in problems related to the modeling of various aging or failure process. Among univariate models, a few particular distributions occupy a central role because of their demonstrated usefulness. The choice of a failure-time model is largely a skill. In most experiments, the measurements are assumed to be drawn from certain distribution. The choice of the distributions depends on past experience with the process, mathematical expediency and to some extent faith. However, in some cases, the relationship between the failure-mechanism and the failure-time function may be used in making a choice.