Generalized Linear Failure Rate Distribution
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Others are: bivariate generalized linear failure rate-power series class of distributions [43], Kumaraswamy generalized linear failure rate distribution [44], extension of
This distribution can be used quite effectively to analyze lifetime data in place of linear failure rate, generalized exponential and generalized Rayleigh distributions.
Harris Generalized Linear Exponential Distribution and Its Applications
This article deals with perform inferences about stress–strength model R = P [Y In this paper, we get the maximum likelihood estimators for the unknown parameters of bivariate generalized linear failure rate distribution and their approximate variancecovariance matrix in Recently it has been observed that the bivariate generalized linear failure rate distributioncan be used quite effectively to analyze lifetime data in two dimensions. This paperintroduces a more In reliability, lifetime distributions are often specified by choosing a particular failure rate function. The constant failure rate characterizes exponential distribution. The linear failure This paper introduces a more general class of bivariate distributions. We refer to this new class of distributions as bivariate generalized linear failure rate power series model. Some known distributions from literature like exponential, Rayleigh and linear failure distributions are shown to belong to this distribution. Kundu and Gupta (2014) Recently, it has been observed that the bivariate generalized linear failure rate distribution can be used quite effectively to analyze lifetime data in two dimensions. This paper Request PDF | On Feb 15, 2018, A Alshangiti and others published Extended Generalized Linear Failure Rate Distribution with Applications | Find, read and cite all the research you need on McDonald Generalized Linear Failure Rate Distribution Ibrahim Elbatal Institute of Statistical Studies and Research Department of Mathematical Statistics Cairo University, Egypt Statist Methodol. 2009;6:344-362] introduced the generalized gamma-generated distribution with an extra positive parameter. A new three-parameter continuous model called the gamma-linear Recently a new distribution, named a bivariate generalized linear failure rate distribution has been introduced by Sarhan et al. (2011). In this paper, we get the maximum likelihood estimators for Abstract: This paper introduces a new comprehensive four-parameter distribution called the modified generalized linear failure rate (MGLFR) distribution. The method This paper introduces a new distribution, which generalizes the well known (1) exponential distribution, (2) linear failure rate distribution, (3) generalized exponential distribution, and (4) Further, various models have been constructed by extending some useful lifetime distributions and investigated them with respect to different characteristics. Some generalized Some recent developments on the Kumaraswamy distribution are: Garg (2009) investigated the generalized-order statistics from the Kumaraswamy distribution; Gholizadeh et In this article, we introduce a new extension of the generalized linear failure rate (GLFR) distributions. It includes some well-known lifetime distributions such as extension of The two-parameter linear failure rate distribution has been used quite successfully to analyze lifetime data. Recently, a new three-parameter distribution, known as the PDF | On Jun 10, 2015, Waleed Marzouk published McDonald-Generalized Linear Failure Rate Distribution | Find, read and cite all the research you need on ResearchGate This paper introduces an extension of the generalized linear exponential geometric distribution which offers a more flexible model for lifetime data. Several statistical properties of We introduce in this paper a new four-parameter generalized version of the linear failure rate (LFR) distribution which is called Beta-linear failure rate (BLFR) distribution. The new The main aim of this paper is to introduce a bivariate generalized linear failure rate distribution, whose marginals are generalized linear failure rate distributions. It is obtained using the same Professor: Mansoura University (Egypt) and UTF: Dalhousie University (Canada) and – Cited by 2,739 – Mathematical Statistics – Bayesian Statistics – Survival Analysis – Statistical Computing Probability distributions are fundamental tools in statistics, enabling the modeling and analysis of random phenomena across diverse fields such as en 1. Introduction and Motivation The development of (probability) distributions that have the ability to extract es- sential informations from lifetime data remains an important challenge for the statisti A new class of distributions called the beta linear failure rate power series (BLFRPS) distributions is introduced and discussed. This class of distributions contains new and existing sub-classes Request PDF | Generalized Linear Failure Rate Power Series Distribution | In this paper, we introduce a new class of lifetime distributions. This new class includes several In this article, we introduce a new class of lifetime distributions. This new class includes several previously known distributions such as those of Chahkandi and Ganjali Sarhan and Kundu [10] presented a three-parameter generalized linear failure rate (GLFR) distribution by exponentiating the LFR distribution as was done for the exponentiated Weibull Abstract Recently, it has been observed that the bivariate generalized linear failure rate distribution can be used quite effectively to analyze lifetime data in two dimensions. This paper This new distribution generalizes several distributions, among them are the modified Weibull, the generalized linear failure rate and the exponentiated Weibull distributions. Supporting: 1, Mentioning: 47 – The exponential and Rayleigh are the two most commonly used distributions for analyzing lifetime data. These distributions have several desirable properties In this paper we propose a new lifetime model, called the odd generalized exponential linear failure rate distribution. Some statistical properties of the proposed distribution such as the PDF | We introduce in this paper a new six-parameters generalized version of the generalized linear failure rate (GLFR) distribution which is called | Find, read and cite all the This paper deals with a new generalization of the exponential, Gompertz, and generalized exponential distributions. This distribution is called the generalized GompertzAn extension of the generalized linear failure rate distribution
Generalized Linear Failure Rate Distribution
Generalized Linear Failure Rate Power Series Distribution