In this paper the kurtosis of the logistic-exponential distribution is analyzed. All the moments of this survival distribution are finite, but do not possess closed-form expressions. The standardized fourth central moment, known as Pearson’s coeffi cient of kurtosis and often used to describe the kurtosis of a distribution, can thus also not be expressed in closed form for the logistic-exponent...

A procedure is derived for determining the values of the parameters of a multinomial distribution by means of the fiducial approach proposed by Fisher. By decomposing the involved probability (mass or density) functions, it is shown that the resulting fiducial distributions belong to the Dirichlet family.

We consider third-order likelihood inferences for the parameters, quantiles and reliability function of logistic distribution. This theory involves conditioning marginalization function. The distribution is a symmetric which closely related to normal distributions, has several applications because its mathematical tractability availability closed-form cumulative performance techniques investiga...