Maximum Likelihood Estimation in an Alpha-Power

Clement Boateng Ampadu; Abdulzeid Yen Anafo

Short Communication

Maximum Likelihood Estimation in an Alpha-Power

Clement Boateng Ampadu*¹ and Abdulzeid Yen Anafo²

¹Department of Biostatistics, USA

² African Institute for Mathematical Sciences (AIMS), Ghana

Corresponding Author

Received Date: May 26, 2019; Published Date: June 03, 2019

Abstract

In this paper a new kind of alpha-power transformed family of distributions (APTA-F for short) is introduced. We discuss the maximum likelihood method of estimating the unknown parameters in a sub-model of this new family. The simulation study performed indicates the method of maximum likelihood is adequate in estimating the unknown parameters in the new family. The applications indicate the new family can be used to model real life data in various disciplines. Finally, we propose obtaining some properties of this new family in the conclusions section of the paper

Keywords: Maximum likelihood estimation; Monte carlo simulation; Alpha-power transformation; Guinea Big data

Article Details

Citation

BClement Boateng Ampadu, Abdulzeid Yen Anafo. Maximum Likelihood Estimation in an Alpha-Power. Annal Biostat & Biomed Appli. 2(3): 2019. ABBA.MS.ID.000541.