Results 181 to 190 of about 1,056 (208)

On the Moments of the Exponentiated Weibull Distribution

Communications in Statistics - Theory and Methods, 2005
Abstract This article concerns the exponentiated Weibull distribution introduced by Mudholkar et al. (1995). The moments of this distribution have been of some interest, Mudholkar and Hutson (1996) provided a non closed form integral representatior, for the moments while, most recently, Nassar and Eissa (2003) derived a finite sum representation by ...
Saralees Nadarajah, Arjun K Gupta
exaly   +2 more sources

On an Extension of the Exponentiated Weibull Distribution

Communications in Statistics - Simulation and Computation, 2014
In this article, the exponentiated Weibull distribution is extended by the Marshall-Olkin family. Our new four-parameter family has a hazard rate function with various desired shapes depending on the choice of its parameters and, thus, it is very flexible in data modeling.
Hamid Bidram, Mohammad Hossein Alamatsaz, Vahid Nekoukhou   +2 more
openaire   +1 more source

The exponentiated Weibull distribution: a survey

Statistical Papers, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saralees Nadarajah, Gauss M Cordeiro, Edwin M M Ortega   +2 more
exaly   +2 more sources

Beta Exponentiated Modified Weibull Distribution: Properties and Application

Symmetry, 2019
One of the most prominent statistical distributions is the Weibull distribution. The recent modifications in this distribution have enhanced its application but only in specific fields.
Mírzá Naveed Shahzad, Abid Hussanan
exaly   +2 more sources

Exponentiated modified Weibull extension distribution

Reliability Engineering & System Safety, 2013
Abstract A new modified Weibull extension distribution is proposed by Xie et al. [20] . Recently, El-Gohary et al. [9] proposed a new distribution referred to as the generalized Gompertz distribution. In this paper, we propose a new model of a life time distribution that mainly generalizes these two distributions. We refer to this new distribution
Ammar M. Sarhan, Joseph Apaloo
openaire   +1 more source

A comparison of the generalized gamma and exponentiated Weibull distributions [PDF]

Statistics in Medicine, 2014
AbstractThis paper provides a comparison of the three‐parameter exponentiated Weibull (EW) and generalized gamma (GG) distributions. The connection between these two different families is that the hazard functions of both have the four standard shapes (increasing, decreasing, bathtub, and arc shaped), and in fact, the shape of the hazard is the same ...
Christopher Cox
exaly   +4 more sources

Exponentiated Exponential Family: An Alternative to Gamma and Weibull Distributions

Biometrical Journal, 2001
Summary: We study the properties of a new family of distributions, namely exponentiated exponential distributions, by \textit{R.C. Gupta}, \textit{R.D. Gupta} and \textit{P.L. Gupta} [Commun. Stat., Theory Methods 27, No. 4, 887-904 (1998)]. The exponentiated exponential family has two parameters (scale and shape) similar to a Weibull or a gamma family.
Gupta, Rameshwar D., Kundu, Debasis
openaire   +2 more sources

The exponential–Weibull lifetime distribution

Journal of Statistical Computation and Simulation, 2013
In this paper, we propose a new three-parameter model called the exponential–Weibull distribution, which includes as special models some widely known lifetime distributions. Some mathematical properties of the proposed distribution are investigated. We derive four explicit expressions for the generalized ordinary moments and a general formula for the ...
Gauss M. Cordeiro, Edwin M.M. Ortega, Artur J. Lemonte   +2 more
openaire   +1 more source

On a Weibull-Inverse Exponential Distribution

Annals of Data Science, 2017
In this paper we study various reliability properties of a Weibull inverse exponential distribution. The maximum likelihood and Bayes estimates of unknown parameters and reliability characteristics are obtained. Bayes estimates are obtained with respect to the squared error loss function under proper and improper prior situations.
null Chandrakant, M. K. Rastogi, Y. M. Tripathi   +2 more
openaire   +1 more source

Discriminating between Weibull and generalized exponential distributions

Computational Statistics & Data Analysis, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rameshwar D. Gupta, Debasis Kundu
openaire   +2 more sources