Search Results - "Jegede, Segun L."

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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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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Predictive evaluation of pediatric patients based on their typhoid fever status using linear discriminant model by Ndako, James A., Olisa, Joseph A., Ifeanyichukwu, Ilochi C., Okolie, Charles E., Ojo, Stephen K.S., Jegede, Segun L.

“…Epidemiologic studies have established a relationship between pediatric patients and typhoid fever infection. This study was carried out to ascertain if…”
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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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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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