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Kumaraswamy Distribution Shape Estimation by Omotayo Abayomi is a document available to read on EtoBox.

This paper investigates the estimation of the shape parameter in the Kumaraswamy distribution using Maximum Likelihood (ML) and Bayesian methods, comparing their effectiveness through Mean Square Error (MSE) and Posterior Risk. The study utilizes hydrological data from the Shasta Reservoir to evaluate the performance of both methods, employing two loss functions in the Bayesian approach. Results indicate that the Bayesian method with Square Error Loss Function generally provides better estimations compared

Author

Omotayo Abayomi

Language

EN