Estimation and prediction for the Kumaraswamy-inverse Rayleigh distribution based on records

Shrinkage Estimation in the Inverse Rayleigh Distribution

Statistical Estimation Based on Generalized Order Statistics from Kumaraswamy Distribution

The Kumaraswamy distribution is similar to the Beta distribution but has the key advantage of a closed-form cumulative distribution function. In this paper we present the estimation of Kumaraswamy distribution parameters based on Generalized Order Statistics (GOS) using Maximum Likelihood Estimators (MLE). We proved that the parameters estimation for Kumaraswamy distribution can not be obtained...

Classic and Bayes Shrinkage Estimation in Rayleigh Distribution Using a Point Guess Based on Censored Data

Introduction      In classical methods of statistics, the parameter of interest is estimated based on a random sample using natural estimators such as maximum likelihood or unbiased estimators (sample information). In practice,  the researcher has a prior information about the parameter in the form of a point guess value. Information in the guess value is called as nonsample information. Thomp...

Extreme Value Charts and Anom Based on Inverse Rayleigh Distribution

A measurable quality characteristic is assumed to follow Inverse Rayleigh distribution. Variable control charts based on the extreme values of each subgroup are constructed. The technique of analysis of means (ANOM) is adopted to work out the decision lines of Inverse Rayleigh distribution. The preferability of the proposed ANOM decision lines over that of Ott (1967) [11] is illustrated by some...

Modified Inverse Rayleigh Distribution

A two parameter generalization of the Inverse Rayleigh distribution capable of modeling bathtub hazard rate function is defined and studied with application to reliability data. A comprehensive account of the mathematical properties of the modified Inverse Rayleigh distribution including estimation and simulation with its reliability behavior are discussed. An application is presented to illust...