scholarly works

Permanent URI for this collectionhttps://repository.ibadanedu.com/handle/123456789/415

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Author: search.filters.author.Oyejola, B. A.End date: 2009

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    Empirical Power Comparism of Three Correlation Coefficients
    (Medwell Journals, 2008) Matthew, O. M.; Oyejola, B. A.
    A Comparison of Pearson's moment (r), Kendall's (t) and the Spearman's rank (r2) correlations was made to find out when they may be suitable for use, particularly when the assumptions that support their use are violated. Bi-variate Samples of size n = 5, 10, 15, 20, 25, 30, 40, 50 and 100 from the normal and exponential distributions with population correlation values of p = 0, 0.25, 0.5, 0.75 and 0.9 (chosen to represent positive correlation between 0 and 1) were used. The power function for a = 0.01 and 0.05 was calculated for the tests. For the normal distribution, the Pearson's moment correlation coefficient was discovered to be the more powerful. However, in the exponential distribution, the power of the Pearson's moment correlation coefficient was lower than those of the non-parametric correlation coefficients, except for small sample sizes i.e, n≤15.
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    Statistical modelling of HIV/AIDS epidemics; Nigeria’s most needful statistical support for meeting the MDGs in HIV/AIDS intervention initiatives.
    (Nigerian Statistical Association, 2006) Akpa, O. M.; Oyejola, B. A.
    Since the first cases of AIDS were identified in the United State of America nearly two decades ago, researchers have made significant progress in understanding the epidemiology of HIV/AIDS Pandemic worldwide, with special attention to Sub-Saharan Africa. However, no particular attempt has been made to Model either the transmission dynamics or the trajectory of HIV/AIDS infection in Nigeria. In this paper, we review various methods adopted by Mathematicians and statisticians to Model HIV/AIDS epidemics. Their peculiar applicability and limitations with reference to Nigeria are discussed. We also discuss why Statistical Modeling of HIV/AIDS Epidemics is one of the most needed Statistical support for meeting the Millennium Development Goals (MDGs), particularly in Nigeria.