In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

We consider the problem of estimating the quantiles of a one-parameter exponential distribution. Using the estimated quantiles to predict the distribution function, and attempting to minimize mean ...

This paper uses information theory to quantify information loss in Type II censored samples drawn from an exponential distribution. Indexes of information loss for the maximum likelihood estimation ...

A parametric family of distributions is a collection of distributions with a known form that is indexed by a set of quantities called parameters. Methods based on parametric distributions of normal, ...