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Natural exponential family

About: Natural exponential family is a research topic. Over the lifetime, 1973 publications have been published within this topic receiving 60189 citations. The topic is also known as: NEF.


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Journal ArticleDOI
TL;DR: In this paper, a method for modeling the exponential distribution of a random quantity, when only the integral representation for the distribution's parameter is known, is proposed and a theoretical probability proof of the method is given.
Abstract: A method is proposed for modelling the exponential distribution of a random quantity, when only the integral representation for the distribution's parameter is known. A theoretical-probability proof of the method is given.
Journal ArticleDOI
TL;DR: In this paper, the authors compare several linear estimators of the mean and right-tail probability for the exponential distribution, and compare the results with the linear estimator for the mean distribution.
Abstract: We compare several linear estimators of the mean and several linear estimators of right-tail probability for the exponential distribution.
01 Jan 2003
TL;DR: In this article, the authors proposed the following: "TTPDJBUFE====== 1SPGFTTPS====== SPGFTTTPS====== %FQBSUNFOU====== PG====== $PNQVUFS====== *OGPSNBUJPO====== *OEPOH====== +VOJPS====== $PMMFHFHFHF======
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Journal ArticleDOI
TL;DR: In this article , a characterization of the exponential modified Erlang distribution with all rates different from each other is presented, which complements previous characterizations via hypoexponential distribution.
Abstract: The sum of independent, but not necessary identically distributed, exponential random variables follows a hypoexponential distribution. We focus on a particular case when all but one rate parameters of the exponential variables are identical. This is known as exponentially modified Erlang distribution in molecular biology. We prove a characterization of the exponential distribution, which complements previous characterizations via hypoexponential distribution with all rates different from each other.

Network Information
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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202319
202262
202114
202010
20196
201823