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Kazeem Eyitayo Lasisi

Publications (3)

Bayesian Estimation of a Scale Parameter of the Gumbel-Lomax Distribution Using Informative and Non Informative Priors

Douglas Jah Pam, Kazeem Eyitayo Lasisi, Umar Farouk Abbas, Mustapha Tijani, Sheyi Mafolasire & Blessing Uke Agbor · Asian Journal of Probability and Statistics · 2022

Estimating the scale parameter of the Gumbel-Lomax Distribution using the Bayesian method of estimation and evaluating the estimators by assuming two non-informative prior distributions and one informative prior distribution is very important for the general application of the Gu...

Open access Research Article 10.9734/ajpas/2022/v20i4440

The Effect of Exclusive Breastfeeding on Child Survival Using Modified Kaplan Meier Model (MKMM)

Moses Longji Dashal, Kazeem Eyitayo Lasisi & Kaneng Eileen Longji · Asian Journal of Probability and Statistics · 2019

Background: In Survival analysis, Kaplan-Meier estimator serves as a tool for measuring the frequency or the number of patients surviving medical treatment. Kaplan Meier estimates of survival data have become a better way of analyzing data in cohort study. Kaplan- Meier (K-M) is...

Open access Research Article 10.9734/ajpas/2019/v5i430146

Selection of Linear Time Series Model on the Basis of Out-of-Sample Prediction Criteria

Akpensuen Shiaondo Henry, Kazeem Eyitayo Lasisi, Emmanuel Alphonsus Akpan & Edeghagba Eghosa Elijah · Asian Journal of Probability and Statistics · 2019

Background: In linear time series, the in-sample model selection and the out-of-sample model selection are the two common approaches to model selection. However, empirical evidence based on out-of-sample forecast performance is generally considered more trustworthy than evidence...

Open access Research Article 10.9734/ajpas/2019/v4i330118