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 | 129 | 2019 |
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 | 101 | 2017 |
Empirical analysis of agricultural growth and unemployment in Nigeria OE Ayinde, K Ayinde, IJB Memudu, VI Ojehomon | 97 | 2008 |
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 | 91 | 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 (1), 6342702, 2019 | 66 | 2019 |
Determinants of inflation in Nigeria: A co-integration approach GB Olatunji, OA Omotesho, OE Ayinde, K Ayinde | 46 | 2010 |
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 | 43 | 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 |
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 | 37 | 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 | 36 | 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 | 35 | 2015 |
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 | 33 | 2022 |
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 | 32 | 2018 |
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), 9574304, 2020 | 30 | 2020 |
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 |
An unbiased estimator with prior information AF Lukman, K Ayinde, B Aladeitan, R Bamidele Arab Journal of Basic and Applied Sciences 27 (1), 45-55, 2020 | 27 | 2020 |
Adoption and economics of new rice for Africa (NERICA) among rice farmers in Ekiti State, Nigeria. VET Ojehomon, MO Adewumi, OA Omotesho, K Ayinde, A Diagne | 22 | 2012 |
A modified ridge-type logistic estimator AF Lukman, A Emmanuel, OA Clement, K Ayinde Iranian Journal of Science and Technology, Transactions A: Science 44, 437-443, 2020 | 21 | 2020 |
Assessment of central bank intervention on rice production in kwara state, Nigeria: A case-study of anchor borrower's program OE Ayinde, O Fatigun, K Ogunbiyi, K Ayinde, YO Ambali | 21 | 2018 |
Some robust ridge regression for handling multicollinearity and outlier A Lukman, O Arowolo, K Ayinde International Journal of Sciences: Basic and Applied Research 16 (2), 192-202, 2014 | 21 | 2014 |