Maximum Likelihood Estimation in the Ampadu-G Family of
Distributions

Clement Boateng Ampadu

Review Article

Maximum Likelihood Estimation in the Ampadu-G Family of Distributions

Clement Boateng Ampadu*

Department of Biostatistics, USA

Corresponding Author

Received Date: March 29, 2019; Published Date: April 26, 2019

Abstract

In this paper the maximum likelihood estimation for parameters in the Ampadu-G family of distributions [1] is discussed. When G is given by the normal distribution, we assess the performance of the estimation procedure via simulation study carried out in the software package R [2]. As a further development we conjecture the methods of maximum product spacings and least squares are adequate for estimating the parameters in the Ampadu-G family of distributions.

Keywords: Ampadu-G; Normal distribution; Maximum likelihood estimation; Ordinary least squares estimation; Maximum product spacings estimation; Monte carlo simulation

Article Details

Citation

Clement Boateng Ampadu. Maximum Likelihood Estimation in the Ampadu-G Family of Distributions. Annal Biostat & Biomed Appli. 2(1): 2019. ABBA.MS.ID.000530.