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Dr. Ogunyinka Peter Ibikunle
Lecturer I (234) 8052003783 ogunyinka.peter@oouagoiwoye.edu.ng
Biography
THE BIOGRAPHY SHOULD INCLUDE BUT NOT LIMITED TO 1. HIGHEST DEGREE AND WHERE: PH.D. & UNIVERSITY OF IBADAN 2. AREA OF EXPERTISE/ SPECIALIZATION: SURVEY STATISTICS 3. PROJECTS/ CONSULTANCIES/ RESEARCH EXECUTED: a. Ogunyinka, P. I. and Sodipo, A. A. (2017). Extension Of Information Cases On Mixture Ratio Estimators Using Multi-Auxiliary Variables And Attributes In Two-Phase Sampling. Transactions of the Nigerian Association of Mathematical Physics. 4(July): 237-250. Nigeria. b. Ogunyinka, P. I. and Sodipo, A. A. (2017). Extension Of Information Cases On Mixture Regression Estimators Using Multi-Auxiliary Variables And Attributes In Two-Phase Sampling. Journal of Statistics: Advances in Theory and Applications. 17(1): 1-10, ISSN 0975-1262. http://scientificadvances.co.in. India. c. Ogunyinka, P. I., Ologunleko, E. F. and Sodipo, A. A. (2019). General Class of Ratio-cum-Product Estimators in Two-Phase Sampling with Multi-Auxiliary Variables. Annals. Computer Science Series, Tibiscus University of Timisoara, 17(2), 225-233, ISSN: 1583-7165, www.anale-informatica.tibiscus.ro. Romania. d. Ogunyinka P. I., Emmanuel F. Ologunleko, B. T. Efuwape, O. M. Olayiwola, Dawud A. Agunbiade: Efficiency of Data Transformation and Correction Factor Methods on the Correction of Extreme Value Effect in Sample Survey Theory. Annals. Computer Science Series, Tibiscus University of Timisoara, 17(2), 225-233, ISSN: 1583-7165, www.anale-informatica.tibiscus.ro. Romania. 4. CURRENT RESEARCH FOCUS: THE TREATMENT OF EXTREME VALUES IN SURVEY STATISTICS 5. AWARDS/ GRANTS AND FELLOWSHIPS: a. MOST ACTIVE LECTURER, TONMA TOP NOTCH HONORARY AWARD. SEPT. 30, 2019. OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, NIGERIA. b. WORLD BANK TRUST FUND (WBTF) FOR STATISTICAL CAPACITY BUILDING. SEPT. 18-23, 2019. FULL FUNDING AWARD, 2019 INTERNATIONAL STATISTICAL INSTITUTE (ISI), WORLD STATISTICS CONGRESS, MALAYSIA. c. OUTSTANDING PERSONALITY, NIGERIA FEDERATION OF CATHOLIC STUDENTS (NFCS), JULY, 2017. OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, NIGERIA. d. MICROSOFT INCORPORATION PARTIAL FUNDING AWARD, MICROSOFT IN EDUCATION. OCT. 10 – 13, 2016. GLOBAL EDUCATION – GLOBAL TRAINING PARTNER SUMMIT. MICROSOFT SOUTH AFRICA, LIMITED. JOHANNESBURG, SOUTH AFRICA. e. MOST DEDICATED AND MOST DISCIPLINE, NIGERIA FEDERATION OF CATHOLIC. OCTOBER, 2014. STUDENTS (NFCS), OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, NIGERIA. 6. NUMBERS OF PHD SUPERVISED (IF ANY): NA 7. OTHER IMPORTANT ACADEMIC MILESTONES: 8. HOBBIES: READING
Awards/Fellowship
a. MOST ACTIVE LECTURER, TONMA TOP NOTCH HONORARY AWARD. SEPT. 30, 2019. OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, NIGERIA. b. WORLD BANK TRUST FUND (WBTF) FOR STATISTICAL CAPACITY BUILDING. SEPT. 18-23, 2019. FULL FUNDING AWARD, 2019 INTERNATIONAL STATISTICAL INSTITUTE (ISI), WORLD STATISTICS CONGRESS, MALAYSIA. c. OUTSTANDING PERSONALITY, NIGERIA FEDERATION OF CATHOLIC STUDENTS (NFCS), JULY, 2017. OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, NIGERIA. d. MICROSOFT INCORPORATION PARTIAL FUNDING AWARD, MICROSOFT IN EDUCATION. OCT. 10 – 13, 2016. GLOBAL EDUCATION – GLOBAL TRAINING PARTNER SUMMIT. MICROSOFT SOUTH AFRICA, LIMITED. JOHANNESBURG, SOUTH AFRICA. e. MOST DEDICATED AND MOST DISCIPLINE, NIGERIA FEDERATION OF CATHOLIC. OCTOBER, 2014. STUDENTS (NFCS), OLABISI ONABANJO UNIVERSITY, AGO-IWOYE, NIGERIA.
Course(s) Taught
- STA 101 Introduction to Statistics
- STA 131 Statistical Inference I
- STA 132 Fieldwork of Statistical Inference I
- STA 211 Probability I
- STA 212 Probability II
- STA 341 Sampling Theory and Survey Method I
- STA 342 Laboratory and Fieldwork for Sample Survey
- STA 441 Sampling Theory and Survey Method II
- CMP 104 Introduction to Computer Programming
- GNS 102 Use of Computer
- STA 714 Advanced Sampling Theory and Survey Method II
Education
Publications
- Efficiency of Data Transformation and Correction Factor Methods on the Correction of Extreme Value Effect in Sample Survey Theory http://anale-informatica.tibiscus.ro/?page=02_rezumate&link=v17f2
- General Class of Ratio-cum-Product Estimators in Two-Phase Sampling with Multi-Auxiliary Variables http://anale-informatica.tibiscus.ro/?page=02_rezumate&link=v17f2
- Extension Of Information Cases On Mixture Ratio Estimators Using Multi-Auxiliary Variables And Attributes In Two-Phase Sampling https://www.researchgate.net/project/Extension-of-Information-Cases-On-Mixture-Ratio-Estimators-Using-Multi-Auxiliary-Variables-And-Attributes-In-Two-Phase-Sampling
- Two Phase sampling for stratification: Application to Software Industry http://anale-informatica.tibiscus.ro/?page=02_rezumate&link=v15f2
- Deficiency of Ridge Regression in Double Sampling for Regression Using Two Auxiliary Variables http://journals.oouagoiwoye.edu.ng/v2/index.php/AJSN
- On The Use Of Double Sampling Method In Analysing Internally Generated Revenue: A Case Study Of Olabisi Onabanjo University. African Journal of Science and Nature, Olabisi Onabanjo University http://journals.oouagoiwoye.edu.ng/v2/index.php/AJSN
- Estimating Total Software End-Users On Online Repository: A Double Sampling Approach https://www.researchgate.net/publication/313360372_Estimating_Total_Software_End-Users_On_Online_Repository_A_Double_Sampling_Approach
- Optimizing Transformation for Linearity between Online Software Repository Variables https://iiste.org/Journals/index.php/MTM/article/view/15090
- Sufficiency and Adequacy of the t-ratio in determining the presence of Multicollinearity in Regression Model https://staff.oouagoiwoye.edu.ng/profile.php?id=488&view=3131
- Effect of Correlation Level on the Use of Auxiliary Variable in Double Sampling for Regression Estimation https://www.scirp.org/html/4-1240215_37645.htm