Department of Statistics and Actuarial Science School of Mathematical Sciences C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana
Kudugu Atiah, Suleman Nasiru, Salifu Katara
In this paper: In this study, we have introduced the Chen distribution as an underlying hazard rate function for a parametric proportional hazards model called the Chen proportional hazards model. The maximum likeli...
Selasi Kwaku Ocloo, Suleman Nasiru, Benjamin Odoi, Lewis Brew
In this paper: Modelling heterogeneous data sets is an emerging research area that is growing steadily. This paper introduces the Harmonic Mixture Gompertz distribution, a new mixture model derived from the weighted...
Festus W. Kparibire, Suleman Nasiru, Abdul-Aziz Adam Kobilla, Abdul Ghaniyyu Abubakari
In this paper: In this study, two component mixture unit-Weibull (TCMUW) model is proposed for fitting data on (0, 1) interval by mixing two unit-Weibull models. The density function plots give the impression that t...
Salifu Nanga, Suleman Nasiru, Jakperik Dioggban
In this paper: The Secant Topp-Leone (STL) generator, which is developed by combining the TL and secant distribution families, is discussed in this paper. We address various statistical characteristics of this new f...
Kingsley Kuwubasamni Ajongba, Suleman Nasiru, Abdul-Aziz Adam Kobilla, Abdul Ghaniyyu Abubakari
In this paper: Statistical distributions form the bedrock of many parametric analyses. Thus, identifying an apt model is key in parametric statistical inference. This study formulates the error function Burr XII (EF...
Abraham Bamfo Boakye, Suleman Nasiru, Sampson Wiredu
In this paper: In recent times, there has been significant attention to the improvements to classical probability distributions in the literature. Because of this attention, many probability generators or family dis...
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