| A new ridge-type estimator for the linear regression model: Simulations and applications BM Kibria, AF Lukman Scientifica 2020, 2020 | 147 | 2020 |
| Modified ridge‐type estimator to combat multicollinearity: Application to chemical data AF Lukman, K Ayinde, S Binuomote, OA Clement Journal of Chemometrics 33 (5), e3125, 2019 | 127 | 2019 |
| Predictive modelling of COVID-19 confirmed cases in Nigeria RO Ogundokun, AF Lukman, GBM Kibria, JB Awotunde, BB Aladeitan Infectious Disease Modelling 5, 543-548, 2020 | 124 | 2020 |
| Review and classi cations of the ridge parameter estimation techniques AF Lukman, K Ayinde Hacettepe Journal of Mathematics and Statistics 46 (5), 953-967, 2017 | 99 | 2017 |
| Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators K Ayinde, AF Lukman, RI Rauf, OO Alabi, CE Okon, OE Ayinde Chaos, Solitons & Fractals 138, 109911, 2020 | 90 | 2020 |
| A modified new two-parameter estimator in a linear regression model AF Lukman, K Ayinde, S Siok Kun, ET Adewuyi Modelling and Simulation in Engineering 2019, 2019 | 65 | 2019 |
| A new estimator for the multicollinear Poisson regression model: simulation and application AF Lukman, E Adewuyi, K Månsson, BMG Kibria Scientific Reports 11 (1), 3732, 2021 | 44 | 2021 |
| COVID-19 prevalence estimation: Four most affected African countries AF Lukman, RI Rauf, O Abiodun, O Oludoun, K Ayinde, RO Ogundokun Infectious Disease Modelling 5, 827-838, 2020 | 42 | 2020 |
| Monte Carlo study of some classification-based ridge parameter estimators AF Lukman, K Ayinde, AS Ajiboye Journal of Modern Applied Statistical Methods 16 (1), 24, 2017 | 39 | 2017 |
| OPTIMIZATION PRINCIPLE AND ITS’APPLICATION IN OPTIMIZINGLANDMARK UNIVERSITY BAKERY PRODUCTION USING LINEAR PROGRAMMING NK Oladejo, A Abolarinwa, SO Salawu, AF Lukman International journal of civil engineering and technology (IJCIET) 10 (2 …, 2019 | 38 | 2019 |
| Municipal solid waste sampling, quantification and seasonal characterization for power evaluation: Energy potential and statistical modelling RA Ibikunle, IF Titiladunayo, AF Lukman, SO Dahunsi, EA Akeju Fuel 277, 118122, 2020 | 37 | 2020 |
| The KL estimator for the inverse Gaussian regression model AF Lukman, ZY Algamal, BMG Kibria, K Ayinde Concurrency and Computation: Practice and Experience 33 (13), e6222, 2021 | 36 | 2021 |
| Modified ridge-type for the Poisson regression model: simulation and application AF Lukman, B Aladeitan, K Ayinde, MR Abonazel Journal of Applied Statistics 49 (8), 2124-2136, 2022 | 35 | 2022 |
| Robust regression diagnostics of influential observations in linear regression model K Ayinde, AF Lukman, O Arowolo Open Journal of Statistics 5 (04), 273, 2015 | 34 | 2015 |
| Modelling the energy content of municipal solid waste and determination of its physico-chemical correlation using multiple regression analysis RA Ibikunle, IF Titiladunayo, BO Akinnuli, AF Lukman, PP Ikubanni, ... International journal of mechanical engineering and technology 9 (11), 220-232, 2018 | 33 | 2018 |
| Some new adjusted ridge estimators of linear regression model K Ayinde, AF Lukman, SO Olarenwaju, MO Attah International Journal of Civil Engineering and Technology (IJCIET) 9 (11 …, 2018 | 31 | 2018 |
| Modified ridge-type estimator for the gamma regression model AF Lukman, K Ayinde, BMG Kibria, ET Adewuyi Communications in Statistics-Simulation and Computation 51 (9), 5009-5023, 2022 | 30 | 2022 |
| A new ridge-type estimator for the gamma regression model AF Lukman, I Dawoud, BMG Kibria, ZY Algamal, B Aladeitan Scientifica 2021, 1-8, 2021 | 30 | 2021 |
| Modeling Nigerian government expenditure, revenue and economic growth: Co-integration, error correction mechanism and combined estimators analysis approach K Ayinde, J Kuranga, AF Lukman Asian Economic and Financial Review 5 (6), 858-867, 2015 | 30 | 2015 |
| Modified one-parameter Liu estimator for the linear regression model AF Lukman, BMG Kibria, K Ayinde, SL Jegede Modelling and Simulation in Engineering 2020, 1-17, 2020 | 29 | 2020 |
