Characterizations of Various Discrete Distributions II

G. G. Hamedani

ISBN 10: 6202816694 / ISBN 13: 9786202816694

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Sometimes in real life cases, it is very difficult to obtain samples from a continuous distribution. The observed values are generally discrete due to the fact that they are not measured in continuum. In some cases, it may be possible to measure the observations via a continuous scale, however, they may be recorded in a manner in which a discrete model seems more suitable. Consequently, the discrete models are appearing quite frequently in applied Fields and have attracted the attention of many researchers in the applied fields. An investigator will be vitally interested to know if their model fits the requirements of a particular distribution. To this end, one will depend on the characterizations of this distribution which provide conditions under which the underlying distribution is indeed that particular distribution. This monograph is the continuation of our (2016) monograph which presents further characterizations of many recently introduced important discrete distributions.

Seller Inventory # 9786202816694

Bibliographic Details

• Title: Characterizations of Various Discrete Distributions II
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6202816694
• ISBN 13: 9786202816694
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 155 grams

About this title

Synopsis

Sometimes in real life cases, it is very difficult to obtain samples from a continuous distribution. The observed values are generally discrete due to the fact that they are not measured in continuum. In some cases, it may be possible to measure the observations via a continuous scale, however, they may be recorded in a manner in which a discrete model seems more suitable. Consequently, the discrete models are appearing quite frequently in applied Fields and have attracted the attention of many researchers in the applied fields. An investigator will be vitally interested to know if their model fits the requirements of a particular distribution. To this end, one will depend on the characterizations of this distribution which provide conditions under which the underlying distribution is indeed that particular distribution. This monograph is the continuation of our (2016) monograph which presents further characterizations of many recently introduced important discrete distributions.