This study explores determinants of child mortality in Kenya using the 2008/09 Kenya demographic and health survey (2008/09 KDHS) data. Cox proportional hazard model is used and stratification method was used to handle the non-proportionality of the hazards. Kaplan Meir log rank test is used to explore the data and determine the significant variables that have association with child mortality to be used in the model. The study establishes that there is improvements in child survival over the...
ABSRACT The Kenyan CPI data for the period January 2000 to December 2017, obtained from the KNBS website, was the variable of interest, modelled as a time series variable. R was the package used for analysis. Descriptive statistics such as the mean, median, ACF, PACF, time series plots, histograms, lagged scatter plots and qqplots were employed to assess the non-stationarity of CPI after which appropriate smoothing techniques such as differencing were made use of to detrend the data. Formally...
ABSTRACT This research work was focused on the EFFECT OF LACK OF PRACTICAL TOOLS ON THE ACADEMIC PERFORMANCE OF STUDENTS in The Ibarapa Polytechnic, Eruwa. The objectives and purpose of the research work is to determine whether factors such as lack of practical tools, lack of enough practical lecturers, improvising of practical tools has any effect on the academic performance of students, also, to determine if students can cope with academics without adequate practical and equipme...
ABSTRACT The present study was conducted at Ahmadu Bello University, Zaria. The aim of the study was to determine the effect of feeds (cotton seed cake, yeast supplement, cow milking ration) and seasonal variation (dry and rainy season) on dairy milk yield. A total of 21 mid lactation cows were fed with cotton seed cake, yeast supplement and cow milking ration in the two seasons respectively and the volume of milk produced by each cow was recorded �...
Abstract: This study was aimed at determining the average performance of teams that participated at the 2014 World Cup in terms of goals scored. Bayesian approach was used to analyze this problem. There was an update of belief about the average goals scored in the tournament through the conjugate Gamma prior and the Poisson likelihood. Using the conjugate Gamma prior and Poisson likelihood, the average goals scored per team was 1.3354 and a posterior standard deviation of 0.1018. The 95%...
Health related quality of life is one of the growing subjects used for evaluating health conditions among patients who suffer from specific ailment.It has been assumed that identification of the variables is able to mirror the one's general health conditions.However,formulating the extent of contribution is multiple variable towards overall health conditions is not straight forward as the arbitrary nature of HRQL variables.This paper aims to model the relationship between HRQL variables using...
Motherless babies have nowadays become common because of moral deca-dence of the society, young people who cannot cater for themselves and ndthemselves put in a family way end up abandoning their babies. The increas-ing hardship of the present economic recession has increased the incidence ofburden on families and the consequent loss of rm control of family members.Time series analysis is use to model the admission and release of children inthe motherless or orphanage home and the data use fo...
This paper addressed the popular issue of collinearity among explanatory variables in the context of a multiple linear regression analysis, and the parameter estimations of both the classical and the Bayesian approaches were compared using Mean Square Error (MSE) and Absolute bias. Five sample sizes: 10, 25, 50, 100 and 500 each replicated 1000 times were simulated using Monte Carlo method. Four degrees of correlation representing no correlation, weak correlation, moderate correlation and ...
It has been observed over the years that real life data are usually non-conforming to the classical linear regression assumptions. One of the stringent assumptions that is unlikely to hold in many applied settings is that of homoscedasticity. When homogenous variance in a normal regression model is not appropriate, invalid standard inference procedure may result from the improper estimation of standard error when the disturbance process in a regression model present heteroscedasticity. When...
School, colleges and universities have no worth without student. Students are most essential asset for any educational institute. The social and economic development of the country is directly linked with student academic performance. The determinants of students' performance have been the subject of ongoing debate among educators, academics, and policy makers. There have been many studies that sought to examine this issue and the findings of these studies point out to hard work and disciplin...
ABSTRACT Road accident has been of great social and economic concern. It has became a total topic for scientific investigation. The number of deaths on the road today, particularly on the major roads of rural-urban areas are what motivated me in writing this project. This study is essentially based on the Statistical Analysis of Road Accidents recorded in Enugu rural-urban roads from 1993 to 2000 with the objectives to; identify the causes of road accidents in Enugu and compare the attend...
Abstract Based on presentation of the principles of nonorthogonal problem, we discuss the difference of some approaches. A simple procedure to include the R-squared and Root Mean Square Error (R.M.S.E) is proposed and tested. The results showed that the Partial Least Square Regression provides better predictions due to a small R.M.S.E value. Keyword. Nonorthogonal, Mean Square, Partial Least Square, R Square. Table of Content 1.0 Introduction 2.0 The Ordinary Least Square Model 2.3 Ridge Re...
AbSTRACT This research work is based on the construction of control chart for quality characteristics of Coke liquid (Sodium content, Sugar content and Volume) which may be used for control of future products of the Coca-Cola Company. Secondary data collected from Coca- Cola Company, Idokpa, Benin City Plant was analysed using Control Chart for process variability and process average. Through the application of statistical Quality Control technique, the product quality was examined and proces...
ABSTRACT In this project, Partial Least Square Regression was compared with Ordinary Least Square Regression (OLSR) to handle the problem of multicollinarity and small sample size on all Nigeria Insurance Company’s expenditure data. The prediction methods have been compared for efficiency through Root Mean Square Error (RMSE) and Mean Square Error (MSE). It is found that in this project Partial Least Square Regression (PLSR) provides better prediction as compared to the Ordinary Least Squa...
Outliers are every day problems encountered in all spheres of life. This work addresses the different methods of labelling outliers and as well highlights the applications of outliers in real life processes