Archive:: Science Journal of Applied Mathematics and Statistics:: Science Publishing Group

Volume 5, Issue 4, August 2017

Prediction of Survival of HIV/AIDS Patients from Various Sources of Data Using AFT Models

Markos Abiso Erango, Ayele Taye Goshu

Issue: Volume 5, Issue 4, August 2017

Pages: 127-133

Received: 28 April 2017

Accepted: 16 May 2017

Published: 7 July 2017

DOI: 10.11648/j.sjams.20170504.11

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Abstract: The aim of this paper is to predict and compare the survival of HIV/AIDS patients under ART follow-up in three different hospitals in Ethiopia. Three data sets with total 1304 patients were considered. Three parametric accelerated failure time distributions: lognormal, loglogistic and Weibull are used to analyze, predict and compare survival probab... Show More

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Generalized Linear Models of Malaria Incidence in Jubek State, South Sudan

Loro Gore Lado Jumi

Issue: Volume 5, Issue 4, August 2017

Pages: 134-138

Received: 8 May 2017

Accepted: 20 May 2017

Published: 7 July 2017

DOI: 10.11648/j.sjams.20170504.12

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Abstract: Malaria is a leading cause of morbidity and mortality in South Sudan. This study is meant to focus on the trend of malaria incidence in Jubek state, South Sudan. Data on weekly malaria incidence for the period January 2011 to October 2015 were used in the study. Generalized linear models, Poisson and negative binomial regression models were employe... Show More

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Variational Principles of Fuzzy Mappings and Its Applications

Yu-E Bao, Ying-Chun Niu, Yuan Li

Issue: Volume 5, Issue 4, August 2017

Pages: 139-146

Received: 19 July 2017

Published: 19 July 2017

DOI: 10.11648/j.sjams.20170504.13

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Abstract: In this paper, we firstly discuss the basic properties of the sub differential of fuzzy mapping and get some related conclusions. Secondly, we establish a variational principle of fuzzy mapping by establishing the concept of gauge fuzzy mapping. Then we prove the approximation sun rule of fuzzy mapping in sub-differential as the application of that... Show More

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On Maximum Likelihood Estimation for the Three Parameter Gamma Distribution Based on Left Censored Samples

Etienne Ouindllassida Jean Ouédraogo, Blaise Somé, Simplice Dossou-Gbété

Issue: Volume 5, Issue 4, August 2017

Pages: 147-163

Received: 30 May 2017

Accepted: 14 June 2017

Published: 24 July 2017

DOI: 10.11648/j.sjams.20170504.14

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Abstract: This paper deals with a Maximum likelihood method to fit a three-parameter gamma distribution to data from an independent and identically distributed scheme of sampling. The likelihood hinges on the joint distribution of the n − 1 largest order statistics and its maximization is done by resorting to a MM-algorithm. Monte Carlo simulations is perfor... Show More

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The Application of Binary Logistic Regression Analysis on Staff Performance Appraisal

Runyi Emmanuel Francis

Issue: Volume 5, Issue 4, August 2017

Pages: 164-168

Received: 5 June 2017

Accepted: 14 June 2017

Published: 26 July 2017

DOI: 10.11648/j.sjams.20170504.15

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Abstract: This study investigates and models salient factors that influences the performance of staff in an appraisal exercise and as well estimate the odds of these factors influencing the outcome variable (performance rating) as compared to their reference group or category. The Binary Logistic regression model was used to estimate chance of the staff give... Show More

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