Staff Members - Benha University
Two Characterizations of Gamma Distribution in Terms of s th Conditional Moments
• 2013
Publication Information
Authors
Ahmed Afify, Zohdy M. Nofal and Abdul–Hadi N. Ahmed
Keywords
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Journal
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Volume
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Issue
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Pages
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publication.type
International
Paper Link
Open Link
Supplementary Materials
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Abstract
The gamma distribution is highly important in applications and data modeling. It is usually used to model waiting times, the
size of insurance claims, and rainfalls. In this paper we state and prove two new characterizations of the two parameter
gamma distribution by establishing a connection between s-right truncated moments (s-left truncated moments) and the
reversed hazard rate (hazard rate). These characterization results are easier to check in data analysis. Besides, our
results generalize some of the well-known theoretical results of Koicheva (1993) and Ahsanullah et al., 2012.
Keywords: characterization; Failure rate; Reversed failure rate; Right censored mean function; Left censored mean
function; Gamma distribution.
size of insurance claims, and rainfalls. In this paper we state and prove two new characterizations of the two parameter
gamma distribution by establishing a connection between s-right truncated moments (s-left truncated moments) and the
reversed hazard rate (hazard rate). These characterization results are easier to check in data analysis. Besides, our
results generalize some of the well-known theoretical results of Koicheva (1993) and Ahsanullah et al., 2012.
Keywords: characterization; Failure rate; Reversed failure rate; Right censored mean function; Left censored mean
function; Gamma distribution.