Search Results - "KAYODE, Ayinde"

Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria by Okunlola, Oluyemi A., Alobid, Mohannad, Olubusoye, Olusanya E., Ayinde, Kayode, Lukman, Adewale F., Szűcs, István

“…In this study, we propose a robust approach to handling geo-referenced data and discuss its statistical analysis. The linear regression model has been found…”
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M Robust Weighted Ridge Estimator in Linear Regression Model by Fayose, Taiwo Stephen, Ayinde, Kayode, Alabi, Olatayo Olusegun

“…Correlated regressors are a major threat to the performance of the conventional ordinary least squares (OLS) estimator. The ridge estimator provides more…”
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Detecting Influential observations in Two-Parameter Liu-Ridge Estimator by Lukman, Adewale F., Ayinde, Kayode

“…Influential observations do posed a major threat on the performance of regression model. Different influential statistics including Cook's Distance and DFFITS…”
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A Modified Two Parameter Estimator with Different Forms of Biasing Parameters in the Linear Regression Model by Owolabi, Abiola T., Ayinde, Kayode, Alabi, Olusegun O.

“…Despite its common usage in estimating the linear regression model parameters, the ordinary least squares estimator often suffers a breakdown when two or more…”
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Enhanced methods for multicollinearity mitigation in stochastic frontier analysis estimation by Rauf, Rauf Ibrahim, Ayinde, Kayode, Hamidu, Bello A., Kikelomo, Bodunwa O., Olusegun, Alabi O.

“…Efficiency estimation in production technology has been a concern in economics, with methodologies such as Stochastic Frontier Analysis (SFA) playing a key…”
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A Modified New Two-Parameter Estimator in a Linear Regression Model by Lukman, Adewale F., Ayinde, Kayode, Siok Kun, Sek, Adewuyi, Emmanuel T.

“…The literature has shown that ordinary least squares estimator (OLSE) is not best when the explanatory variables are related, that is, when multicollinearity…”
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HETEROSCEDASTICITY CORRECTION MEASURES IN STOCHASTIC FRONTIER ANALYSIS by RAUF, Rauf I., HAMIDU, Bello A., KIKELOMO, Bodunwa O., KAYODE, Ayinde, OLUSEGUN, Alabi O.

“…The stochastic frontier analysis (SFA) model, designed to assess technical efficiency in production models, operates under the assumption of homoscedasticity…”
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Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression by Lukman, Adewale F., Adewuyi, Emmanuel T., Alqasem, Ohud A., Arashi, Mohammad, Ayinde, Kayode

“…We address the estimation of regression parameters for the ill-conditioned predictive linear model in this study. Traditional least squares methods often…”
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Combining modified ridge-type and principal component regression estimators by Lukman, Adewale F., Ayinde, Kayode, Oludoun, Olajumoke, Onate, Clement A.

“…The performance of ordinary least squares estimator (OLSE) when there is multicollinearity (MC) in a linear regression model becomes inefficient. The principal…”
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Robust weighted ridge regression based on S – estimator by Fayose, Taiwo Stephen, Ayinde, Kayode, Alabi, Olatayo Olusegun, Hamidu Bello, Abimbola

“…Ordinary least squares (OLS) estimator performance is seriously threatened by correlated regressors often called multicollinearity. Multicollinearity is a…”
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COVID-19 prevalence estimation: Four most affected African countries by Lukman, Adewale F., Rauf, Rauf I., Abiodun, Oluwakemi, Oludoun, Olajumoke, Ayinde, Kayode, Ogundokun, Roseline O.

“…The world at large has been confronted with several disease outbreak which has posed and still posing a serious menace to public health globally. Recently,…”
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On the biased Two-Parameter Estimator to Combat Multicollinearity in Linear Regression Model by Idowu, Janet Iyabo, Oladapo, Olasunkanmi James, Owolabi, Abiola Timothy, Ayinde, Kayode

“…The most popularly used estimator to estimate the regression parameters in the linear regression model is the ordinary least-squares (OLS). The existence of…”
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Jackknife Kibria-Lukman M-Estimator: Simulation and Application by Jegede, Segun L., Lukman, Adewale F., Ayinde, Kayode, Odeniyi, Kehinde A.

“…The ordinary least square (OLS) method is very efficient in estimating the regression parameters in a linear regression model under classical assumptions. If…”
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Comparative Analysis of the Implication of Periods Before and During Vaccination of COVID-19 Infection in Some Regional Leading African Countries by Owolabi, Abiola T., Ayinde, Kayode, Adejumo, Taiwo J., Kasali, Wakeel A., Adewuyi, Emmanuel T.

“…There has been a high expectation about the efficacy of coronavirus disease 2019 (COVID-19) vaccines. This research investigates and compares the efficiency of…”
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An unbiased estimator with prior information by Lukman, Adewale F., Ayinde, Kayode, Aladeitan, Benedicta, Bamidele, Rasak

“…The ordinary least square (OLS) estimator suffers a breakdown in the presence of multicollinearity. The estimator is still unbiased but possesses a significant…”
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Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model by Jegede, Segun L., Kibria, B. M. Golam, Ayinde, Kayode, Lukman, Adewale F.

“…The general linear regression model has been one of the most frequently used models over the years, with the ordinary least squares estimator (OLS) used to…”
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Handling linear dependency in linear regression models: Almost unbiased modified ridge-type estimator by Jegede, Segun L., Lukman, Adewale F., Alqasem, Ohud A., Elwahab, Maysaa Elmahi Abd, Ayinde, Kayode, Golam Kibria, B.M., Adewinbi, Hezekiah

“…The linear regression model is a widely used statistical tool that forms most modelling concepts' basis. The ordinary least square estimator is often adopted…”
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Modified One-Parameter Liu Estimator for the Linear Regression Model by Lukman, Adewale F., Kibria, B. M. Golam, Ayinde, Kayode, Jegede, Segun L.

“…Motivated by the ridge regression (Hoerl and Kennard, 1970) and Liu (1993) estimators, this paper proposes a modified Liu estimator to solve the…”
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Analysis of determinants of maize price variations in Nigeria (1978 - 2014) by Ayinade, Opeyemi Eyitayo, Aina, Ifedotun Victor, Ayinade, Kayode

“…Skyrocketing prices of food staples such as maize can lead to inefficient agricultural production and definitely have detrimental effects on the economic,…”
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Drivers of rice price variation in Nigeria: A two-stage iterative ridge regression approach by Ayinde, Opeyemi, Aina, Victor, Ayinde, Kayode, Lukman, Adewale

“…Most studies on local rice in Nigeria were centred on increasing production, consumption or competitiveness with very few of them addressing the determinants…”
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