[PDF] Top 20 A Generalized Gamma-Weibull Distribution: Model, Properties and Applications

... the Gamma random variable was defined. As an special case, the generalized gamma-Weibull (GGW) distribution is studied and its parameter estimations are ...new distribution, an ... See full document

... lifetime model called the Burr X exponentiated Weibull ...lifetime model is based on the wider use of the exponentiated Weibull and Weibull ...lifetime model because it exhibits ... See full document

... This stability theorem makes sure that the convergence of distribution functions is reflected by corresponding convergence of the functions g , h and  , respectively. Remark 6.2 ( ) a In Theorem 6.1, the interval ... See full document

... lifetime distribution by using Kumaraswamy- G class of distributions and Weibull Geometric ...Kumaraswamy Weibull distribution, Kumaraswamy Exponential distribution, Weibull ... See full document

... In a bid to describe and explain random variables, many statistical models have been conceived and formulated in probability theory. However, many of these well-known and classical distributions have been outperformed by ... See full document

... GOWG-N model with Gompertz-normal (Gom-N) model (Alizadeh, et ...(OEHL-N) model (Afify, et al., 2017e), odd Lindley normal (OL-N) model (da-Silva et ...2016) model and odd ... See full document

... Inverse Weibull distribution and presented a comprehensive description of the mathematical properties of this model along with its reliability ...new generalized inverse Weibull ... See full document

... lifetime model called the generalized transmuted Weibull (GT-W) ...generated distribution. Based on the generalized transmuted-G (GT-G) family of distributions, we construct the new ... See full document

... lifetime model called the beta generalized inverse Weibull geometric (BGIWGc) ...generated distribution. Based on compounding the GIW distribution with the Gc distribution and ... See full document

... stress-strength model is the most widely approach used for reliability ...This model is used in many applications of physics and engineering such as strength failure and system ... See full document

... to approximate quantities such as the density of a test statistic that depend on the sam- ple size in order to obtain better approximate distributions. The resulting approximation for the MLEs in distribution ... See full document

... where 𝐹(𝑥) = 𝐹 (WGBXII) (𝚯) (𝑥), 𝑓(𝑥) = 𝑓 (WGBXII) (𝚯) (𝑥), 𝚯 = (𝛽, 𝜃, 𝑎, 𝑏), 𝛽 > 0 and 𝜃 > 0 are two additional shape parameters. From Figure 1(a) we conclude that the the PDF of the WGBXII model can be ... See full document

... The aim of this paper is to introduce a new family of distributions as an extension of alpha skew generalized t distribution with the pdf (3). The rest of this paper is organized as follows: In Section 2, ... See full document

... II) distribution has wide applications in many fields such as income and wealth inequality, medical and biological sciences, engineering, size of cities actuarial science, lifetime and reliability ...Lomax ... See full document

... The statistics literature is filled with lots of continuous univariate distributions for describing real data. In recent years, there has been a great interest among statisticians and applied researchers in constructing ... See full document

... generalization model is the class of beta generalized distributions introduced in Eugene et ...of generalized distributions (Kw-G), based on the Kumaraswamy distribution (Kumaraswamy 1980), to ... See full document

... transmuted generalized Rayleigh models. The new model is much better than the Weibull-Weibull, Odd Weibull-Weibull, gamma exponentiated-exponential models in modeling ... See full document

... weighted Weibull distribution using Topp Leone family of ...statistical properties of the proposed distribution including quantile function, moment generating function, probability generating ... See full document

... GEW model is identical to the generalized gamma distribution pioneered by Stacy ...EW distribution arises as the basic exemplar for a = ...GEW model has several sub-models: the ... See full document

... f x y    x   y   exp    x    y          x  y  (1.2) Distribution (1.1) can be studied for other choices of    x . The distribution (1.2) has been study in context of order ... See full document