Dr. Adewale Folaranmi Lukman

Lecturer
Landmark Univesristy, Nigeria

Highest Degree
Ph.D. in Econometrics from Ladoka University of Technology, Ogbomoso, Nigeria

My URL
https://livedna.org/234.25614

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Area of Interest:

Bayesian Inference
Econometrics
Statistical Analysis
Distribution Theory
Discrete Mathematics

Selected Publications

  1. Lukman, A.F., K. Ayinde, B.M. Golam Kibria and E.T. Adewuyi, 2020. Modified ridge-type estimator for the gamma regression model. Commun. Stat. - Simul. Comput., 49: 1-15.
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  2. Lukman, A.F., K. Ayinde, B. Aladeitan and R. Bamidele, 2020. An unbiased estimator with prior information. Arab J. Basic Appl. Sci., 27: 45-55.
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  3. Lukman, A.F., A. Emmanuel, O.A. Clement and K. Ayinde, 2020. A modified ridget-type logistic estimator. Iran J. Sci. Technol. Trans. Sci., 44: 437-443.
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  4. Onate, C.A., O. Adebimpe, A.F. Lukman, I.J. Adama, J.O. Okoro and E.O. Davids, 2018. Approximate eigensolutions of the attractive potential via parametric Nikiforov-Uvarov method. Heliyon, Vol. 4. 10.1016/j.heliyon.2018.e00977.
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  5. Onate, C.A., O. Adebimpe, A.F. Lukman, I.J. Adama, E.O. Davids and K.O. Dopamu, 2018. Approximate solutions of the Dirac equation with Coulomb-Hulthen-like tensor interaction. Results Phys., 11: 194-1099.
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  6. Onate, A.C., O. Adebimpe, B.O. Adebesin and A.F. Lukman, 2018. Information-theoretic measure of the hyperbolical exponential-type potential. Turk. J. Phys., 42: 402-414.
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  7. Onate, A.C., J.O. Okoro, O. Adebimpe and A.F. Lukman, 2018. Eigen solutions of the Schrodinger equation and the thermodynamic stability of the black hole temperature. Results Phys., 10: 406-410.
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  8. Lukman, A.F., O. Adebimpe, C.A. Onate, R.O. Ogundokun, B. Gbadamosi and M.O. Oluwayemi, 2018. Data on expenditure, revenue and economic growth in Nigeria. Data Brief, 20: 1704-1709.
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  9. Lukman, A.F., M. Oluwayemi, O. Okoro and A.C. Onate, 2018. The impacts of population change and economic growth on carbon emissions in Nigeria. Iran. Econ. Rev. (In Press). .

  10. Lukman, A.F., K.S. Siok, K. Ayinde and C.A. Onate, 2018. Jackknifing the two-parameter estimator and its efficiency. Arab J. Basic Applied Sci. (In Press). .

  11. Lukman, A.F., K. Ayinde, K.S. Siok and E. Adewuyi, 2018. A modified new two-parameter estimator in a linear regression model. Comput. Stat. (In Press). .

  12. Lukman, A.F., K. Ayinde, A.O. Okunola, O.B. Akanbi and A.C. Onate, 2018. Classification-based ridge estimation techniques of alkhamisi methods. J. Probability Stat. Sci., 16: 165-181.

  13. Lukman, A.F., K. Ayinde, 2018. Monte Carlo study of some classification-based ridge parameter estimators. J. Modern Applied Stat. Methods, 16: 207-207-218.

  14. Lukman, A.F., A. Haadi, K. Ayinde, C.A. Onate, B. Gbadamosi and N. Oladejo, 2018. Improved generalized ridge estimators and their comparisons. WSEAS Trans. Math., 17: 369-376.

  15. Lukman, A.F. and O.T. Arowolo, 2018. Newly proposed biased ridge estimator: An application to the Nigerian economy. Pak. J. Stat., 34: 91-98.

  16. Ayinde, K., A.F. Lukman, O.O. Samuel and S.A. Ajiboye, 2018. Some new adjusted ridge estimators of linear regression model. Int. J. Civil Eng. Technol., 98: 2838-2852.
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  17. Adejumo, R.O., T.A. Adagunodo, H. Bility, A.F. Lukman and P.O. Isibor, 2018. Physicochemical constituents of groundwater and its quality in crystalline bedrock, Nigeria. Int. J. Civil Eng. Technol., 9: 887-903.
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  18. Lukman, A.F., K. Ayinde and O.A. Anihunlopo, 2017. Variable selection in the modeling of Nigeria economic growth. J. Demography Social Stat., 4: 44-59.

  19. Lukman, A.F., K. Ayinde and A.S. Ajiboye, 2017. Monte Carlo study of some classification-based ridge parameter estimators. J. Modern Applied Stat. Methods, 16: 428-451.
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  20. Lukman, A.F., A. Kayode, S.A. Ajiboye and T. Daramola, 2017. Some robust Liu estimators. Zimbabwe J. Sci. Technol., 12: 8-14.

  21. Lukman, A.F. and K. Ayinde, 2017. Review and classifications of the ridge parameter estimation techniques. Hacetteppe J. Math. Stat., 46: 953-967.

  22. Lukman, A.F., J. Oyedeji and R. Abiola, 2016. Modified pena’s measures for detecting influential observations in biased estimators. Zimbabwe J. Sci. Technol., 11: 118-125.

  23. Lukman, A.F., E. Oranye, I. Okegbade and O.T. Arowolo, 2016. Weighted cochrane two stage estimator for handling autocorrelation and heteroscedasticity. J. Niger. Assoc. Math. Phys., 34: 209-212.

  24. Lukman, A.F., B. Samuel and O.O. Sodiq, 2016. Relationship among government revenue, expenditure and gross domestic product in Nigeria: Generalized two stage principal component approach. Int. J. Theor. Applied Math., 2: 24-27.

  25. Lukman, A.F. and K. Ayinde, 2016. Some improved classification-based ridge parameter of hoerl and kennard estimation techniques. J. Turk. Stat. Assoc., 9: 93-106.

  26. Ayinde, O.E., V.I. Aina, K. Ayinde and A.F. Lukman, 2016. Drivers of rice price variation in Nigeria: A two-stage iterative ridge regression approach. J. Agric. Sci., 61: 79-92.
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  27. Ajiboye, S.A., E. Adewuyi, A. Kayode and A.F. Lukman, 2016. A comparative study of some robust ridge and Liu estimators. Sci. World J., 11: 16-20.
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  28. Lukman, A.F., O.I. Osowole and K. Ayinde, 2015. Two stage robust ridge method in a linear regression model. J. Modern Applied Stat. Methods, 14: 53-67.
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  29. Lukman, A.F., K. Ayinde, O.O. Alaba and O.T. Arowolo, 2015. Nigerian economic growth and government expenditure: A disaggregated analysis and two stage ridge regression approach. Sci. Focus, 20: 29-34.

  30. Lukman, A.F., H.E. Oranye, K. Ayinde and A.S. Folorunso, 2015. Impact of some economic indicators on economic growth in Nigeria. J. Demography Social Stat., 2: 10-16.

  31. Lukman, A.F., A.S. Folorunso and T.O. Owolabi, 2015. Investigating the relationship between expenditure and economic growth in Nigeria: A two stage robust autoregressive distributed lag approach to cointegration. Global J. Res. Anal., 4: 162-168.

  32. Ayinde, K., J. Kuranga and A.F. Lukman, 2015. Modeling Nigerian government expenditure, revenue and economic growth: Co-integration, error correction mechanism and combined estimators analysis approach. Asian Econ. Financial Rev., 5: 858-867.
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  33. Ayinde, K., A.F. Lukman and O.T. Arowolo, 2015. Combined parameters estimation methods of linear regression model with multicollinearity and autocorrelation. J. Asian Sci. Res., 5: 243-250.
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  34. Ayinde, K., A.F. Lukman and O. Arowolo, 2015. Robust regression diagnostics of influential observations in linear regression model. Open J. Stat., 5: 273-283.
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  35. Arowolo, O.T., A.F. Lukman and K. Ayinde, 2015. A comparative study of some methods of handling multicollinearity in autocorrelated error. Afr. J. Sci. Technol. Sci. Eng. Ser., 13: 68-72.

  36. Lukman, A.F., O. Arowolo and K. Ayinde, 2014. Some robust ridge regession for handling multicollinearity and outliers. Int. J. Sci. Basic Applied Res., 16: 192-202.

  37. Ayinde, K. and A.F. Lukman, 2014. Combined estimators as alternative to multicollinearity estimation methods. Int. J. Curr. Res., 6: 4505-4510.
Member since December, 2018