Parameter Estimation In Weighted Rayleigh Distribution

Parameter Estimation In Weighted Rayleigh Distribution

Two-Parameter Rayleigh Distribution: Different Methods of Estimation

In this paper we have considered different methods of estimation of the unknown parameters of a two-parameter Rayleigh distribution both from the frequentists and Bayesian view points. First we briefly describe different frequentists approaches, namely maximum likelihood estimators, moments estimators, L-moment estimators, percentile based estimators and least squares estimators, and compare th...

E-Bayesian Approach in A Shrinkage Estimation of Parameter of Inverse Rayleigh Distribution under General Entropy Loss Function

‎Whenever approximate and initial information about the unknown parameter of a distribution is available, the shrinkage estimation method can be used to estimate it. In this paper, first the $ E $-Bayesian estimation of the parameter of inverse Rayleigh distribution under the general entropy loss function is obtained. Then, the shrinkage estimate of the inverse Rayleigh distribution parameter i...

Improved Parameter Estimation in Rayleigh Model

In this paper we describe and present results on the parameter point estimation for the scale and threshold parameters of the Rayleigh distribution. Five estimating methods have been investigated, namely, the maximum likelihood, the method of moment, the probability weighted moments method, the least square method and the least absolute deviation method. Modified maximum likelihood estimators f...

Shrinkage Estimation in the Inverse Rayleigh Distribution