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Articles by A.A. Adepoju
Total Records ( 3 ) for A.A. Adepoju
  J.O. Ajetomobi and A.A. Adepoju
  This study examines the effects of customers’ awareness of avian influenza on poultry egg production enterprise in Lagelu local government area of Oyo State. Primary data were collected from forty-eight poultry farms in the study area using multistage sampling technique. Data collected were analyzed using descriptive statistics, budgetary analysis and multiple regression analysis. The result showed that poultry egg production in the study area is dominated by male (75%) with about 50% of the farmers in their productive age i.e. 21-40 years. Majority of the farmers had formal education (87.5%). The outbreak of the news accounted for about 85% reduction in the farmers’ gross margin per bird. The most effective home grown strategy to restore consumers’ confidence was routine hygiene management. The literacy level of farmers afford the farmers the opportunity of timely information about the disease and possible general management practices.
  A.A. Adepoju and J.O. Olaomi
  Problem statement: All simultaneous equation estimation methods have some desirable asymptotic properties and these properties become effective in large samples. This study is relevant since samples available to researchers are mostly small in practice and are often plagued with the problem of mutual correlation between pairs of random deviates which is a violation of the assumption of mutual independence between pairs of such random deviates. The objective of this research was to study the small sample properties of these estimators when the errors are correlated to determine if the properties will still hold when available samples are relatively small and the errors were correlated. Approach: Most of the evidence on the small sample properties of the simultaneous equation estimators was studied from sampling (or Monte Carlo) experiments. It is important to rank estimators on the merit they have when applied to small samples. This study examined the performances of five simultaneous estimation techniques using some of the basic characteristics of the sampling distributions rather than their full description. The characteristics considered here are the mean, the total absolute bias and the root mean square error. Results: The result revealed that the ranking of the five estimators in respect of the Average Total Absolute Bias (ATAB) is invariant to the choice of the upper (P1) or lower (P2) triangular matrix. The result of the FIML using RMSE of estimates was outstandingly best in the open-ended intervals and outstandingly poor in the closed interval (-0.05 < r < 0.05) when P1 and P2 we re-combined. Conclusion: (i) The ranking of the various simultaneous estimation methods considered based on their small sample properties differs according to the correlation status of the error term, the identifiability status of the equation and the assumed triangular matrix. (ii) The nature of the relationship under study also determined which of the criteria for judging the performances of the estimators could be said to perform best when compared with others.
  K.A. Adeleke and A.A. Adepoju
  Problem statement: This research aimed at modeling a categorical response i.e., pregnancy outcome in terms of some predictors, determines the goodness of fit as well as validity of the assumptions and selecting an appropriate and more parsimonious model thereby proffered useful suggestions and recommendations. Approach: An ordinal logistic regression model was used as a tool to model the three major factors viz., environmental (previous cesareans, service availability), behavioral (antenatal care, diseases) and demographic (maternal age, marital status and weight) that affected the outcomes of pregnancies (livebirth, stillbirth and abortion). Results: The fit, of the model was illustrated with data obtained from records of 100 patients at Ijebu-Ode, State Hospital in Nigeria. The tested model showed good fit and performed differently depending on categorization of outcome, adequacy in relation to assumptions, goodness of fit and parsimony. We however see that weight and diseases increase the likelihood of favoring a higher category i.e., (livebirth), while medical service availability, marital status age, antenatal and previous cesareans reduce the likelihood/chance of having stillbirth. Conclusion/Recommendations: The odds of being in either of these categories i.e., livebirth or stillbirth showed that women with baby’s weight less than 2.5 kg are 18.4 times more likely to have had a livebirth than are women with history of babies ≥2.5 kg. Age (older age and middle aged) women are one halve (1.5) more likely to occur than lower aged women, likewise is antenatal, (high parity and low parity) are more likely to occur 1.5 times than nullipara.
 
 
 
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