ADEBOLA FEMI BARNABAS picture
ADEBOLA FEMI BARNABAS

Publication

Publisher:
 
Publication Type:
 Journal
Publication Title:
 Estimating Prevalence Of Induced Abortion And Multiple Sexual Partners Using Improved Randomized Response Technique For Two Sensitive Attributes
Publication Authors:
 Olusegun S Ewemooje ,Godwin N Amahia And Femi B Adebola
Year Published:
 2017
Abstract:
The study examined the prevalence of two related sensitive characters: induced abortion and multiple sexual partners among women of Akure, the state capital of Ondo state, Nigeria using improved randomized response technique (RRT) for two sensitive attributes (IRRT2). Also, the direct method of data collection was used in collecting information on the two sensitive characters, these were further compared with the IRRT2. A wide gap was noticed between the two methods as response rate increased tremendously with the use of IRRT2. The data collected also confirm the fact that RRT is far more efficient than direct method. 
Publisher:
 MCSER Publishing
Publication Type:
 Journal
Publication Title:
 Cases Of Road Traffic Accident In Nigeria: A Time Series Approach
Publication Authors:
 Ridwan A. Sanusi1, F.B. Adebola, N.A. Adegoke
Year Published:
 2016
Abstract:
Road traffic accident in Nigeria is increasing at a disturbing rate and has raised one of the country major concerns. We provide appropriate and suitable time series model for the cases of road accident; the minor cases, the serious cases, the fatal cases and the total cases of road accident in Nigeria. The most widely used conventional method of time series known as Autoregressive Integrated Moving Average (ARIMA) model (also known as Box-Jenkins method) is applied to the annual cases of road accident data in Nigeria from 1960-2013, to determine patterns of road traffic accident cases along the Nigeria motorway. Appropriate models are developed for the minor cases, the serious cases, the fatal cases and the total cases. ARIMA (1,1,1) model is obtained for the minor and total cases, ARIMA (1,1,0) model is obtained for the serious cases, while ARIMA(0,1,1) model is obtained for the fatal cases using data from 1960-2011. Data from 2012 to 2013 is used to test the adequacy and performance of the models. The models are then used to forecast the different cases from 2014 till 2020, and the forecast show an average increase in the data for the cases considered. 
Publisher:
 Scientific And Academic Publishing
Publication Type:
 Journal
Publication Title:
 A Class Of Regression Estimator With Cum-Dual Ratio Estimator As Intercept
Publication Authors:
 F. B. Adebola1, N. A. Adegoke1, Ridwan A. Sanusi
Year Published:
 2015
Abstract:
This paper examines a class of regression estimator with cum-dual ratio estimator as intercept for estimating the mean of the study variable Y using auxiliary variable X. We obtained the bias and the mean square error of the proposed estimator, also, the asymptotically optimum estimator (AOE) was obtained along with its mean square error. Theoretical and numerical validation of the proposed estimator were done to show it’s superiority over the usual simple random sampling estimator and ratio estimator, product estimator, cum-dual ratio and product estimator. It was found that the estimator while performed better than other competing estimators, performed in almost the same way as the usual regression estimator when compared with the usual simple random estimator for estimating the average sleeping hours of undergraduate students of the department of statistics, Federal University of Technology Akure, Nigeria. 
Publisher:
 Rspublications
Publication Type:
 Journal
Publication Title:
 A NEW APPROACH TO SMOOTHING TIME SERIES DATA
Publication Authors:
 Adebola, Femi Barnabas, Ehigie, Osamwonyi Timothy
Year Published:
 2015
Abstract:
In the study of time series, new technique for smoothing the data is very important and evolving. This study presents a new technique for smoothing time series data. It is based on average and works in the time domain. It is aimed at creating a new series by redistributing the average of the reduced (halved) series of the variable of interest; it has the potential of reducing large peak. In this work, simulated stock data (S&P 500 quarterly stock value for 2005:1 – 2014:4)) will be smoothed and residual analysis carried out to determined the performance of the technique. From the application of the technique, amongst other findings, the residual ?t from the technique was found to be white noise, which is the building block for time series models. 
Publisher:
 Scientific And Academic Publishers
Publication Type:
 Journal
Publication Title:
 An Improved Warner’s Randomized Response Model
Publication Authors:
 F. B. Adebola, O. O. Johnson
Year Published:
 2015
Abstract:
This paper presents a modification of Warner’s [8] Randomized Response model. According to O’Muircheartaigh et al [7], non-response is inevitable in a survey; in view of this, our model further reduces the non-response bias by further sampling for the non-respondents. In this paper we performed an empirical practice of our model and we also performed the empirical comparison of our model with Warner [8] model. We discovered that our model is more efficient than the Warner [8] model. 
Publisher:
 Global Journal Inc
Publication Type:
 Journal
Publication Title:
 A Class Of Regression Estimator With Cum-Dual Product Estimator As Intercept
Publication Authors:
 F. B. Adebola & N. A. Adegoke
Year Published:
 2015
Abstract:
This paper examines a class of regression estimator with cum-dual product estimator as intercept for estimating the mean of the study variable Y using auxiliary variable X. We obtained the bias and the mean square error (MSE) of the proposed estimator. We also obtained MSE of its asymptotically optimum estimator (AOE). Theoretical and numerical validation of the proposed estimator was done to show it’s superiority over the usual simple random sampling estimator and ratio estimator, product estimator, cum-dual ratio and product estimator. It was found that the asymptotic optimal value of the proposed estimator performed better than other competing estimators and performed in exactly the same way as the regression estimator, when compared with the usual simple random estimator for estimating the average sleeping hours of undergraduate students of the department of statistics, Federal University of Technology Akure, Nigeria. 
Publisher:
 Academic Journals
Publication Type:
 Journal
Publication Title:
 Family Characteristics: Indices Of Adolescents Sexual Behaviour
Publication Authors:
 Adebola, Olukemi Grace And Adebola, Femi Barnabas
Year Published:
 2015
Abstract:
This study examined the effect of family characteristics and parental status on adolescents’ sexual behavior in Okun land of Kogi State. Data were obtained from male and female adolescents in ten Government Secondary Schools among the Okun-Yoruba tribe of Kogi State. The Okun-Yorubas occupied five LGAs of the state. Two schools were selected from each of the LGAs. In all, 781 copies of questionnaire were distributed and 768 were retrieved from respondents. This sample responded to a semi-structured questionnaire which contained both open and closed ended questions on sexual activities among adolescents as facilitated by family and parental background and activities. The findings reveal that adolescents’ sexual behaviors are affected by their family or parental sexual life style, income and education level, tutelage, etc. Association between adolescents’ sexual behavior and parental indices as mentioned above were tested using the Chi-square test. The t-test was used to determine the significance of the findings while Cramer’s V value was used to test the strength of the associations. Results of the Chi-square tests were corroborated by focus group discussion and Indepth interview conducted among respondents and teachers. This allows for triangulation among responses gathered. Conclusions were drawn based on the findings and recommendations proffered 
Publisher:
 International Institute Of Science And Technology Education
Publication Type:
 Journal
Publication Title:
 A Modified Stratified Randomized Response Techniques
Publication Authors:
 F. B. Adebola, O. O. Johnson And N.A. Adegoke
Year Published:
 2014
Abstract:
This paper presents a modification of Kim and Warde’s (2004) Stratified Warner’s Randomized Response Technique (SWRRT) and Kim and Elam’s (2007) Stratified Unrelated Question Randomized Response Technique with known distribution (SURRT) using optimal allocation. Our models further reduce the non-response bias by introducing the concept of sub-samples of non-respondent developed by Hansen and Hurwitz (1946) to the above mentioned models. In this paper we perform an empirical practice of our model and we also perform the empirical comparison of our models with both Kim and Warde (2004) and Kim and Elam (2007) models. We discovered a new note in the empirical comparative study of our models. 
Publisher:
 Nigerian Association Of Mathematical Physics
Publication Type:
 Journal
Publication Title:
 A Survey Of Examination Malpractices Using The Randomized Response Technique.
Publication Authors:
 Adebola, F.B And Adegoke N.A.
Year Published:
 2013
Abstract:
We administered a questionnaire survey using both the randomized response (RR) technique and the direct questioning (DQ) technique to directly estimate the prevalence of examination malpractices in The Federal University of Technology, Akure in Ondo State, Nigeria. The effectiveness of the RR technique in reducing response and non-response biases was also assessed and we examined the relationship between examination malpractices and key demographic variables. It was discovered that RR technique was effective in reducing non-response bias, but its effectiveness in reducing response bias could not be established statistically. Some relationships were found between the demographic variables examined and examination malpractices. 
Publisher:
 Keja Publications
Publication Type:
 Journal
Publication Title:
 An Optimal Setting For Production Process Using Inverted Loss Function.
Publication Authors:
 Obafemi, O.S., Ajao I.O., Adebola, F.B.
Year Published:
 2013
Abstract:
In manufacturing, loss Function expresses the economic consequences associated with deviation from target; since different process have different sets of economic consequences a better approach to developing loss function and setting optimal values is desirable. This work focused on the use of loss function based on inverted normal probability density Function known as the inverted Normal loss function in determining an optimal setting for a production process. Basic programming language is used to determine the expected loss of weights with varying loss values, on weights of cigarette. The optimal value for the manufacturing of cigarette process was obtained to be 1030mg.