Mathematics
7 years ago

New method improves accuracy of Weibull Rayleigh distribution parameter estimation.

Journal of King Saud University - Science
Bayesian estimation for parameters and reliability characteristic of the Weibull Rayleigh distribution
Manoj Kumar Rastogi, Faton Merovci

Paper Summary

Related papers

Theme background image
Computer Science
3 years ago

Revolutionary Bayesian Approach Optimizes Mixture Procedures for Maximum Impact

Model-Based Clustering
Statistical Control
Multicollinearity
2 views
Theme background image
Engineering
4 years ago

New study finds better distribution model for ocean current speed in Malaysia!

Electricity Forecasting
Theme background image
Engineering
6 years ago

Weibull Distribution Function Outperforms Rayleigh in Harnessing Wind Power in Kosovo

Wind Energy
Wind Environment
Electricity Forecasting
1 view

The article explores ways to estimate unknown parameters and reliability characteristics of the Weibull Rayleigh distribution using Bayesian methods. The researchers developed estimators for the parameters and reliability characteristic, comparing their performance through simulations. When all three parameters are unknown, closed-form expressions for the estimators are not possible, so Lindley's approximation was used. The study showed that the Bayesian estimators provide reliable estimates for the distribution's parameters and reliability characteristic.