A New Generalization of Weighted Geometric Distribution and its Properties

Discrete distributions are widely used to model lifetime for count data. In this paper we introduce a new generalization of weighted geometric (GWG) distribution with the weight function w(x) = (1−p^{αx})^β whose special case proposes a discrete generalized weighted exponential distribution. Further...

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Main Authors: H. Najarzadegan, M. H. Alamatsaz
Format: Article
Language:English
Published: Atlantis Press 2017-11-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/25887940.pdf
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spelling doaj-d6745292b987439db8569c453e148f902020-11-24T21:15:22ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)1538-78872017-11-0116410.2991/jsta.2017.16.4.8A New Generalization of Weighted Geometric Distribution and its PropertiesH. NajarzadeganM. H. AlamatsazDiscrete distributions are widely used to model lifetime for count data. In this paper we introduce a new generalization of weighted geometric (GWG) distribution with the weight function w(x) = (1−p^{αx})^β whose special case proposes a discrete generalized weighted exponential distribution. Further, it is observed that GWG distribution can be produced through a selection model. GWG distribution can be viewed as the generalization of a weighted geometric distribution, the discrete generalized exponential distribution and the classic geometric distribution. We shall study several distributional and structural properties of our distribution such as its shape properties, unimodality, infinite divisibility, moments probability weighted moments, stochastic orderings, order statistics, entropies and stress-strength reliability function. We shall also present some related novel characterizations. Finally, estimation of the parameters are investigated and applicability of the model is examined using a real data set.https://www.atlantis-press.com/article/25887940.pdfEntropyMomentMoment generating functionStress-strength reliability functionStochastic ordersOrder statistics
collection DOAJ
language English
format Article
sources DOAJ
author H. Najarzadegan
M. H. Alamatsaz
spellingShingle H. Najarzadegan
M. H. Alamatsaz
A New Generalization of Weighted Geometric Distribution and its Properties
Journal of Statistical Theory and Applications (JSTA)
Entropy
Moment
Moment generating function
Stress-strength reliability function
Stochastic orders
Order statistics
author_facet H. Najarzadegan
M. H. Alamatsaz
author_sort H. Najarzadegan
title A New Generalization of Weighted Geometric Distribution and its Properties
title_short A New Generalization of Weighted Geometric Distribution and its Properties
title_full A New Generalization of Weighted Geometric Distribution and its Properties
title_fullStr A New Generalization of Weighted Geometric Distribution and its Properties
title_full_unstemmed A New Generalization of Weighted Geometric Distribution and its Properties
title_sort new generalization of weighted geometric distribution and its properties
publisher Atlantis Press
series Journal of Statistical Theory and Applications (JSTA)
issn 1538-7887
publishDate 2017-11-01
description Discrete distributions are widely used to model lifetime for count data. In this paper we introduce a new generalization of weighted geometric (GWG) distribution with the weight function w(x) = (1−p^{αx})^β whose special case proposes a discrete generalized weighted exponential distribution. Further, it is observed that GWG distribution can be produced through a selection model. GWG distribution can be viewed as the generalization of a weighted geometric distribution, the discrete generalized exponential distribution and the classic geometric distribution. We shall study several distributional and structural properties of our distribution such as its shape properties, unimodality, infinite divisibility, moments probability weighted moments, stochastic orderings, order statistics, entropies and stress-strength reliability function. We shall also present some related novel characterizations. Finally, estimation of the parameters are investigated and applicability of the model is examined using a real data set.
topic Entropy
Moment
Moment generating function
Stress-strength reliability function
Stochastic orders
Order statistics
url https://www.atlantis-press.com/article/25887940.pdf
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