Results 121 to 130 of about 39,121 (159)

Gillespie-based simulation and inference for non-Markovian stochastic reaction networks. [PDF]

open access: yesBrief Bioinform
Pélissier A   +3 more
europepmc   +1 more source

Transmuted Generalized Exponential Distribution: A Generalization of the Exponential Distribution With Applications to Survival Data

Communications in Statistics Part B: Simulation and Computation, 2017
In this article, we investigate the potential usefulness of the three-parameter transmuted generalized exponential distribution for analyzing lifetime data. We compare it with various generalizations of the two-parameter exponential distribution using maximum likelihood estimation.
Robert A.R. King   +2 more
exaly   +3 more sources

Generalized Exponential–Power Series Distributions

Computational Statistics and Data Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eisa Mahmoudi, Ali Akbar Jafari
exaly   +2 more sources

Generalized Weighted Exponential Distribution

Communications in Statistics - Simulation and Computation, 2014
The new class of weighted exponential (WE) distributions obtained by Gupta and Kundu (2009) by implementing Azzalini's method to the exponential distribution. In this study, we generalize the WE distribution to a new class of generalized weighted exponential (GWE) distribution.
Omid Kharazmi   +2 more
openaire   +1 more source

A Generalization of the Exponential-Logarithmic Distribution

Journal of Statistical Theory and Practice, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pappas, Vasileios   +2 more
openaire   +2 more sources

The exponentiated generalized Birnbaum–Saunders distribution

Applied Mathematics and Computation, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gauss M. Cordeiro, Artur J. Lemonte
openaire   +1 more source

A Generalized Exponential Distribution

Biometrical Journal, 1987
This paper discusses a new generalization of the exponential distribution. The distribution has its basis in the first emptiness time distribution of semi-infinite reservoir model. The distribution has two parameters, the additional parameter is such that both the mean and variance tend to increase with an increase in its value, but the variance ...
openaire   +2 more sources

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