[PDF] Top 20 A modified Weibull distribution

... It is not possible to use the method of moments to estimate the parameters of the distribution because expressions for the mo- ments are analytically intractable. Although the expressions for the percentiles are ... See full document

... Abstract— Modified Weibull distribution is an appreciable improvement over the Weibull ...the modified Weibull ...the distribution inevitably determine the behavior, ... See full document

... lifetime distribution is an interesting and intuitively appealing approach to derive a discrete lifetime ...Reduced Modified Weibull distribution known as the Marshall-Olkin Discrete Reduced ... See full document

... In this paper, we study the Maximum Likelihood Estimation (MLE) and Ordinary Least Squares Estimator (OLSE) methods for estimation of the unknown parameters of the modified Weibull distribution. A ... See full document

... combinations and generalizations such as super and generalized Gaussian mixture model (GMM) [14]. In this paper, we propose the Modified Weibull distribution (MWD) which is a modification -or we can ... See full document

... The model was provided on real data to test whether it fits these real data better than other models. The rest of the paper is organized as follows. In Section 2, definition and some characteristics of the ... See full document

... The modified Weibull distribution of Sarhan and Zaindin [6] was studied by Gasmi and Berzig [7] in the case of type I censored ...Weibull distribution. Xie et al. [9] proposed a ... See full document

... l distribution by Zhang and Xie (2011), The Topp-Leone Generated Weibull dis- tribution by Aryal et ...Generalized weibull distributions by Lai, (2014), The Kumaraswamy-transmuted exponentiated ... See full document

... inverse Weibull family of distributions has proved to be of considerable interest in modeling various mechanism with instantaneous failure ...transmuted modified inverse Weibull distribution ... See full document

... generalized modified weibull distribution with five parameters had a great flexibility in accommodating all the forms of the hazard rate function, can be used in a variety of problems for modeling ... See full document

... value distribution, a number of transmuted family of distributions have been proposed and discussed by many authors in the ...transmuted Weibull distribution; Khan and King (2013): transmuted ... See full document

... 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 ... See full document

... The Weibull distribution, named for Waloddi Weibull, was popularized by Weibull in his papers from 1939 through 1961, the key paper being (Weibull ...work, Weibull was studying ... See full document

... new distribution with four parameters, called the Weibull inverse Lomax distribution is ...new distribution such as quantile function, moments, order statistics and Rényi entropy are ... See full document

... Record statistics has been studied by several authors for various probability distributions. Ahsanullah (1992) has provided general results for distribution of records for continuous probability distributions. A ... See full document

... The distribution function of Beta random variable; given in (2) has played very key role in generalizing the probability ...parent distribution having cdf G x   as: ... See full document

... complementary Weibull geometric distribution (TCWGD) and some of its ...complementary Weibull geometric ...TCWG distribution is applied to a real data set to illustrate its ... See full document

... kumaraswamy weibull geometric (Kw-WG) distribution which includes as special cases, several models such as the kumaraswamy weibull distribution, kumaraswamy exponential distribution, ... See full document

... (SAS Institute Inc 2016) from the software SAS (University Edition), a single chain has been used in the simulation of samples for the parameters considering a “burn-in-sample” of size 10, 000 to eliminate the possible ... See full document

... 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 ... See full document