Abstract Nigeria is a country with one of the world’s highest rate of under-five mortality. Any innovative research aimed at bringing solutions to this problem should be considered worthwhile. This study examined how socio-economic, demographic and cultural factors (called underlying factors), influence under-five mortality in Nigeria by identifying some other direct factors (called proximate determinants) through which the underlying factors influence under-five mortality. It used data fro...
Abstract Nigeria is a country with one of the world’s highest rate of under-five mortality. Any innovative research aimed at bringing solutions to this problem should be considered worthwhile. This study examined how socio-economic, demographic and cultural factors (called underlying factors), influence under-five mortality in Nigeria by identifying some other direct factors (called proximate determinants) through which the underlying factors influence under-five mortality. It used d...
ABSTRACT Problems of pregnancy and birth delivery cause more deaths and disability than any other reproductive health problem. The situation is worse in developing countries like Nigeria due to inadequate access to antenatal care services and lack of utilization. A pregnancy not long after the previous childbirth may result in poor health outcomes for the mother, poor health status for the child and a reduction in probability of survival for both mother and child. There are past studies on m...
Abstract Lack of contraceptives use is major concerns not only in Sub-Saharan Africa but also in many other developing countries in the world especially in Nigeria. Therefore, this study assess the factors that determines contraceptive useamong couples in Nigeria, Data were obtained from 2013 NDHS, and weighted sample of 38,676. Univariate result showed that the socio demographic factor is significant with the contraceptive use. The bivariate analysis revealed that there is a significant ass...
ABSTRACT In Nigeria, not many considerations have been taken into the health of vulnerable children at the Internally Displaced Persons Camp. Hence, the need for more research that will help in designing necessary intervention programme. This study examines the determinants of child health among internally displaced persons in Taraba State, using data from a well-structured questimmaire. Binary logistic regression model was ernployed in multivariate analysis. Findings revealed that women betw...
ABSTRACT The study examined women's autonomy by fertility behaviour in northern Nigeria using Nigeria Demographic and Health Survey women recode dataset. Analyses were done at three levels, univariate level by means of frequency distribution, bivariate level by using Chi-square test and multivariate level by the use of multinomial logistic regression models. Findings revealed that 7.1 % of women enjoyed autonomy. In all, 63. 7% of women were working and there was a significance relationship ...
Abstract: The exchange rate is one of the macro-economic variables that have an impact on macroeconomic with its different sectors and the Exchange rate policy is one the most important policies that adopted by some countries to solve some of the economic problems. Therefore we must stand on timeline impact of the exchange rate in Sudan and build a predictive model for predicting exchange rates in Sudan. It requires finding suitable models to the nature of commercial time-series data. We mus...
Missing observations is a common occurrence in data collection. To solve this problem, researchers have developed missing value imputation techniques for some linear and nonlinear time series models with normal and stable innovations using estimating function criterion. This criterion does not take into consideration the distribution of the innovation sequence of the time series model. Therefore the aim of this study was to develop explicit optimal linear estimators of missing values for seve...
Abstract Large area estimation has been mostly accomplished using Geoadditive Models (GM) which combines the ideas of Geostatistics and additive models. The GM relaxes the classical assumptions of traditional parametric model by simultaneously incorporating linear and nonlinear, nonparametric effects of covariates, nonlinear interactions and spatial effects into a Geoadditive predictor. In the past, estimation of GM has been based on large area as a result of insufficient information in sma...
ABSTRACT Software reliability is defined as the probability of failure free operation of a software in a specified environment during a specified period. Software reliability has been the focus of several researches over the last four decades. One of the earliest software reliability models is the exponential nonhomogeneous Poisson process developed by Goel and Okumoto in 1979. Most research works have considered fitting different software reliability models to different software reliability...
ABSTRACT A sampling design that provides estimates of population mean and abundance with small variance is important to researchers. Estimates that are accurate even with minimal sampling efforts allow researchers to easily and confidently investigate rare populations. In the determination of efficient sampling design for rare and clustered population, mean square errors have been applied in many previous research works. However, this method only captures the variability of the estimator and...
ABSTRACT Testing for homogeneity of proportions in handling over-dispersion is employed in toxicology, teratology, consumers purchasing behavior, alcohol drinking behavior, in studies of dental caries in children and other similar fields. An important inference problem of interest is to compare proportions of certain characteristic in several groups. However, these proportions often exhibit variation greater than predicted by a simple binomial model. In real world applications, the binomial ...
ABSTRACT Due to rapid increase in development of complex computer systems over the past decades, there is need to estimate and predict the reliability of software systems during the testing process. Reliability refers to how well software meets its requirements and the probability of failure free operation for the specified period of time in a specified environment. The high demand and use of software has led to increased quest for more reliable software. For the past few decades several soft...