… In order to use the KLS to estimate the parameters of a Weibull distribution, we just have
to put the Weibull survival function given in (2) instead of F in (4). After simplifying we get …

… The Kullback-Leibler information is a measure of uncertainty between two densities. … of
Kullback-Leibler Divergence (KLD) in discriminating either the Weibull or Log-Normal distribution. …

… tests for Weibull, … Kullback-Leibler information which uses H mn • We use Vasicek's estimator
H mn to estimate I(F:Fo)' First we consider the case of unspecified exponential parameter …

… an estimate of Kullback–Leibler information. The proposed test is consistent and the limiting
distribution of the … Monte Carlo power estimates of the tests against the Weibull distribution. …

… -Leibler information for Pareto, log-normal, and Weibull distributions by using maximum
likelihood estimates and approximate maximum likelihood estimates of the model parameters. Fi…

… used to determine distribution of wind speed. The Weibull distribution, whose parameters are
… We fit the Weibull and distribution and the distributions obtained GKOP to wind speed data. …

… 1 ( G : F ) for the Weibull distribution and the standard exponential distribution by varying
the shape parameter of the Weibull distribution, and summarize the numerical results in Fig. 1. …

… parameter values, where g is the Weibull distribution (scale parameter 1) and f is the standard
exponential distribution… If f(x) contains an unknown parameter, which is the usual case in …

… terms of an incomplete integral of the hazard function, and provide a simple estimate of the
joint … Because the proposed test statistic is related to the hazard function, we consider the …

In this article, a general goodness of fit test is developed by using a new estimate of Kullback-Leibler
(KL) information based on Type-II censored data. The proposed test is consistent, …