Bivariate Weibull distribution
Concomitants of Generalized Order Statistics for a Bivariate Weibull Distribution
... A bivariate Weibull distribution is defined by Hanif Shahbaz and Ahmad (2009) and by Ahsanullah et ...compound distribution of two Weibull random ...of bivariate Weibull ...
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Idealized models of the joint probability distribution of wind speeds
... the Weibull and Rice distributions ...the Weibull distribution as a model for the joint distribution is rejected (p < ...a bivariate Weibull distri- bution is most robust for ...
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A New Multivariate Weibull Distribution
... In this subsection we have applied the proposed multivariate Weibull distribution on two real data sets. The data set 1 contains information about body weight and brain weight of 84 mammals as reported by ...
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Modeling of chemical inhibition from amyloid protein aggregation kinetics
... of Weibull function as chemical-concentration model [35,36] modifying the most important parameters of the repara- meterized logistic equation [37] used for aggregation de- ...
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A New Prediction Method of Rain Attenuation Along Millimeter Wave Links Based on a Bivariate Model for the Effective Path Length and Weibull Distribution
... a bivariate model for the numerical estimation of the effective path length of a millimeter wave terrestrial link and on Weibull distribution for the representation of the point rainfall rate ...
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Transmuted Complementary Weibull Geometric Distribution
... complementary Weibull geometric distribution (TCWGD) and some of its ...complementary Weibull geometric ...TCWG distribution is applied to a real data set to illustrate its ...
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Stochastic conditonal range, a latent variable model for financial volatility
... the Weibull and the log-normal. The exponential distribution and the Weibull are commonly employed in duration analysis thanks to the flexibility of their hazard function and the direct relationship ...
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The Kumaraswamy transmuted Pareto distribution
... We provide in Table 5, the parameter estimation of the insurance data for both 1988 and 1990. Comparing the performance of KwTP with the distributions listed in Table 4 of Mdziniso and Cooray (2017) for the 1988 data, we ...
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The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution
... RWB developed the proof of Theorem 1, and spent considerable effort in trying to obtain analytical forms for several integrals that did not make it into the paper. CP worked closely with AAT to develop the results of ...
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On the Alpha Power Inverse Weibull Distribution
... inverse Weibull is more suitable than the Weibull distribution because the inverse Weibull distribution gives satisfactory parametric fit if the data indicate anon monotone and unimodal ...
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The McDonald’s Inverse Weibull Distribution
... SPSS buit-in dataset “Employee database” is used to obtain fit the McDonalds Invcerse Weibull Distribution. The ML estimates of the parameters of McDonald’s Inverse Weibull Distribution and ...
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A New Generalized Weighted Weibull Distribution
... This paper presents the Topp Leone weighted Weibull distribution. We have obtained various properties for the proposed model; including, shape, moments, moment gen- erating function, probability generating ...
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A Study on The Mixture of Exponentiated-Weibull Distribution
... The use of finite mixture distributions, to control for unobserved heterogeneity, has become increasingly popular among those estimating dynamic discrete choice models. One of the barriers to using mixture models is that ...
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On Wrapping of Exponentiated Inverted Weibull Distribution
... Inverted Weibull distribution using the method of ...density, distribution function, characteristic function for the wrapped Exponentiated Inverted Weibull distribution are derived and ...
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The Exponential Flexible Weibull Extension Distribution
... Flexible Weibull (FWE) distribution (Bebbington et ...this distribution, see ...Flexible Weibull Extension (FWE) distribution with parameters α β , > 0 , then it’s probability ...
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Bayesian Inference For The Segmented Weibull Distribution
... prior for the Weibull shape parameter α. We consider a single chain in the simu- lation of samples for the parameters considering a “burn-in-sample” of size 10, 000 to eliminate the possible effect of the initial ...
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The Kumaraswamy Weibull Geometric Distribution with Applications
... In this section, we present an application of the Kw − WG distribution using two real data sets. The first data set is given by Raqab and Kundu (2009) on the gauge lengths of 20 mm and consists of n = 74 ...
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Weibull Inverse Lomax Distribution
... four-parameter Weibull inverse Lomax (WIL) distribution as well as study the estimate of its population parameters depending on TIIC ...WIL distribution are defined. Statistical properties of the WIL ...
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A Generalized Gamma-Weibull Distribution: Model, Properties and Applications
... (GW.a) distribution introduced by Alzaatre at ...(GW.p) distribution presented by Provost et al. (2011). The Gamma-Weibull model is applied to a data set published in Suprawhardana et ...GGW ...
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A MULTIVARIATE WEIBULL DISTRIBUTION
... The multivariate probability density function f x x ( , 1 2 ,..., x n ) of a multivariate distribution function can be obtained by differentiating the multivariate survival function with respect to each variable. ...
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