Book

Description

This book arose from our experience as active researchers working in the field of probability distributions and have derived classes, families and systems of probability distributions in our research during the past two decades. We had noticed that it was appropriate to put forward a set of choices and ideas that were used after the forties of the past century and before the emergence of influential probability distributions, which paved the way for their current enormous development. In particular, we indicate to the the family of gamma distributions, the expansive extensions of the parameters, and the general forms that generalize its basic form, in addition to the extension of the mixture of gamma that leads to Lindley model and its various generalizations.
The astonishing computational ability of personal computing is now making cutting edge inferential technologies seamlessly accessible. Although the computing power available is more than equal to the task, many powerful techniques for extracting the most information from expensive data are not as widely adopted as they should be due to the unavailability of appropriate software.