ADEBOLA FEMI BARNABAS picture
ADEBOLA FEMI BARNABAS

Publication

Publisher:
 International Institute Of Science And Technology Education
Publication Type:
 Journal
Publication Title:
 On A Qualitative Comparison Of The Proposed Randomized Response Technique With Hussain And Shabbir (2007).
Publication Authors:
 Adebola, F.B And Adepetun, A.O
Year Published:
 2012
Abstract:
Randomized Response Techniques (RRTs) were developed for the purpose of improving response rate by protecting surveyee's privacy and avoiding answer bias.In this paper, we succinctly investigated the trend of the response rate (?) with both the proposed Randomized Response Technique (RRT) and the conventional one. We found that the proposed (RRT) is better than the conventional one at each response rate since it gives smaller variance. 
Publisher:
 Nigeria Association Of Mathematical Physics
Publication Type:
 Journal
Publication Title:
 : Comparison Of Some Approximately Unbiased Ratio Estimators Using A Monte Carlo Approach Under Non Normal Error Regression Model
Publication Authors:
 F.B Adebola
Year Published:
 2012
Abstract:
This paper compares seven approximately unbiased ratio estimators along side with the classical ratio estimator under a non-normal linear regression model. The variances, bias, mean squared errors and efficiencies of these estimators for the ratio of population means of two characters were compared using Monte Carlo. Our findings revealed that RA is the best 
Publisher:
 Marcel Dekker Inc.
Publication Type:
 Journal
Publication Title:
 Hybrid Tripartite Randomized Response Technique
Publication Authors:
 Femi B Adebola , Adedamola A Adediran And Olusegun S Ewemooje
Year Published:
 2012
Abstract:
In this paper, a new randomized response technique has been proposed that combines the unrelated question randomized response technique and tripartite randomized response technique. The relative efficiency of the newly proposed Randomized Response technique over the existing Randomized Response technique was obtained. It was observed that the relative efficiency of the proposed technique over the tripartite RRT increases with increase in ?A and ?U. The applicability of the proposed technique was also shown. However, it has been shown that the proposed technique performs better than the conventional ones 
Publisher:
 Nigeria Association Of Mathematical Physics
Publication Type:
 Journal
Publication Title:
 A New Tripartite Randomized Response Technique.
Publication Authors:
 Adebola ,F.B. And Adepetun ,A.O
Year Published:
 2011
Abstract:
In any research involving sensitive questions, respondents tend to refuse to answer such questions or give evasive response. Many randomized response sampling techniques were developed but could only handle two answer options; ‘Yes’ and ‘No’, among which are [8], e.t.c. In this paper, a tripartite randomized response sampling technique was developed to handle the three answer options: ‘Yes’, ‘No’ and ‘Undecided’,based on the modification of [8] model. 
Publisher:
 Nigerian Statistical Association
Publication Type:
 Journal
Publication Title:
 Derivations And Comparison Of Some Mean Square Errors Of Some Almost Unbiased Ratio Estimators ( Under A Particular Model).
Publication Authors:
 Adebola,F.B. And Bassey K.J
Year Published:
 2011
Abstract:
Over the years, several ratio type estimators which satisfies the criterion of approximately or almost unbiased ratio estimators have been proposed by several authors. In this paper, the mean square errors of outstanding seven almost unbiased ratio estimators are derived under a particular regression model, and compared to obtain the most efficient among them. 
Publisher:
 Gazi University
Publication Type:
 Journal
Publication Title:
 A Stratified Hybrid Tripartite Randomized Response Technique
Publication Authors:
 Ewemooje, O.S. ,Adebola, F. B. And ADEDIRAN, A. A.
Year Published:
 2011
Abstract:
This paper proposes a new stratified technique to address the problem involving estimation of the population proportion of people with sensitive attribute(s). Studying the proposed technique under proportional and Neyman allocations shows that the proposed technique is more efficient than (outperforms) the Singh & Gorey [1] and Tarray & Singh [2] stratified randomized response models. Applying the proposed technique to a survey on drug use disorder also shows the applicability of the model 
Publisher:
 School Of Sciences, The Federal University Of Technology, Akure
Publication Type:
 Journal
Publication Title:
 A Comparative Study Of Some Methods Of Improving Efficiency Of Randomized Response Models
Publication Authors:
 F.B. Adebola And O Alo Damilola
Year Published:
 2011
Abstract:
This paper compares different randomized response designs by their efficiency condition and also using the concept of Jeopardy Function. A population is divided into two sensitive groups, with unknown proportion , respectively. Considering a dichotomous response model where a typical response R is yes (say, y) or no (say, n). The conditional probabilities that a person R comes from individual of groups, , are , respectively. These probabilities are at the researcher’s disposal and are called Design probabilities. Taking into consideration these design probabilities, a natural measure was proposed and it was carried by , respectively. Considering the Percentage Relative Efficiency of Mangat et al. and Bhargava and Singh, it is found that the Bhargava and Singh model is better than Mangat et al.’s model when and when Mangat et al.’s model is better than Bhargava and Singh’s model 
Publisher:
 Nil
Publication Type:
 Disertations
Publication Title:
 Development Of An Alternative Unbiased Ratio -Type Estimator
Publication Authors:
 Adebola, F.B
Year Published:
 2010
Abstract:

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Publisher:
 Asian Network Of Scientific Information
Publication Type:
 Journal
Publication Title:
 On The Estimation Of Power And Sample Size In Test Of Independence
Publication Authors:
 G.M. Oyeyemi, A.A. Adewara, F.B. Adebola And S.I Salau
Year Published:
 2010
Abstract:
In this study, power and sample size estimations in the context of test of independent between categorical variables were examined. The required sample size in an experiment is a function of the alternative hypothesis, the size of type I error and the variability of the population. Power of a test is the probability of rejecting a false null hypothesis and it depends on the effect size, type I error and the sample size. A priori power analysis is determination of minimum sample size to obtain a required power while post-hoc power analysis is calculating power of a test. A test with small effect size requires large sample size to achieve a power 80% or more while effect size of medium or large size needs small sample size to achieve that. Test with small degrees of freedom will attain higher power than the same test with larger degrees of freedom. 
Publisher:
 Global Research Publication And Institute Of Science Technology
Publication Type:
 Journal
Publication Title:
 FUTA Enrolment And Graduation Rate: Using Data To Shape Management Decision.
Publication Authors:
 Bassey, K.J. And Adebola F.B
Year Published:
 2010
Abstract:
Since the inception of the Federal University of Technology, Akure (FUTA), enrolment of students for undergraduate programmes has been on increase regardless of the manning levels. Interestingly, the number of graduates produced increases with the increase in enrolments. Given that not all students enrolled do graduate at the same time, what would be the effect of enrolment reduction on graduates production if management decision to reduce enrolment rate is implemented is the emphasis of this paper. Data from the university are analyzed using covariance analysis to shape management decision.