Search Results - "Lukman, Adewale"

Modified ridge‐type estimator to combat multicollinearity: Application to chemical data by Lukman, Adewale F., Ayinde, Kayode, Binuomote, Samuel, Clement, Onate A.

“…The Linear regression model is one of the most widely used models in different fields of study. The most popularly used estimation technique is the ordinary…”
Get full text

Robust biased estimators for Poisson regression model: Simulation and applications by Lukman, Adewale F., Arashi, Mohammad, Prokaj, Vilmos

“…Summary The method of maximum likelihood flops when there is linear dependency (multicollinearity) and outlier in the generalized linear models. In this study,…”
Get full text

Modified ridge-type for the Poisson regression model: simulation and application by Lukman, Adewale F., Aladeitan, Benedicta, Ayinde, Kayode, Abonazel, Mohamed R.

“…The Poisson regression model (PRM) is employed in modelling the relationship between a count variable (y) and one or more explanatory variables. The parameters…”
Get full text

A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications by Kibria, B. M. Golam, Lukman, Adewale F.

“…The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consistently attractive shrinkage methods to reduce the effects of…”
Get full text

Liu regression after random forest for prediction and modeling in high dimension by Arashi, Mohammad, Lukman, Adewale F., Algamal, Zakariya Y.

“…In the modern era, using advanced technology, we have access to data with many features, and therefore, feature engineering has become a vital task in data…”
Get full text

Blood level of cadmium and lead in occupationally exposed persons in Gwagwalada, Abuja, Nigeria by Alli, Lukman Adewale

“…This study was designed to assess the blood levels of cadmium and lead in some occupationally exposed individuals and compare the values with non-exposed…”
Get full text

A new estimator for the multicollinear Poisson regression model: simulation and application by Lukman, Adewale F., Adewuyi, Emmanuel, Månsson, Kristofer, Kibria, B. M. Golam

“…The maximum likelihood estimator (MLE) suffers from the instability problem in the presence of multicollinearity for a Poisson regression model (PRM). In this…”
Get full text

Persistence and volatility spillovers of bitcoin price to gold and silver prices by Yaya, OlaOluwa S., Lukman, Adewale F., Vo, Xuan Vinh

“…The paper investigates persistence, returns and volatility spillovers from the bitcoin market to the gold and silver markets using daily datasets from January…”
Get full text

Enhancing model predictions through the fusion of stein estimator and principal component regression by Farghali, Rasha A., Lukman, Adewale F., Ogunleye, Ayodeji

“…This research aims to enhance model predictions by introducing a novel approach that combines the Stein estimator technique with principal component regression…”
Get full text

Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators by Ayinde, Kayode, Lukman, Adewale F., Rauf, Rauf I., Alabi, Olusegun O., Okon, Charles E., Ayinde, Opeyemi E.

“…•COVID-19 remains a major pandemic currently facing all the countries of the world, Nigeria inclusive.•We build some statistical model to the available…”
Get full text

Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting by Barrera-Animas, Ari Yair, Oyedele, Lukumon O., Bilal, Muhammad, Akinosho, Taofeek Dolapo, Delgado, Juan Manuel Davila, Akanbi, Lukman Adewale

“…Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and…”
Get full text

The KL estimator for the inverse Gaussian regression model by Lukman, Adewale F., Algamal, Zakariya Y., Kibria, B. M. Golam, Ayinde, Kayode

“…Multicollinearity poses an undesirable effect on the efficiency of the maximum likelihood estimator (MLE) in both Gaussian and non‐Gaussian regression models…”
Get full text

Principal component ridge type estimator for the inverse Gaussian regression model by Akram, Muhammad Nauman, Amin, Muhammad, Lukman, Adewale F., Afzal, Saima

“…The inverse Gaussian regression model (IGRM) is applied when the response variable is continuous, positively skewed and well fitted to the inverse Gaussian…”
Get full text

Robust-stein estimator for overcoming outliers and multicollinearity by Lukman, Adewale F., Farghali, Rasha A., Kibria, B. M. Golam, Oluyemi, Okunlola A.

“…Linear regression models with correlated regressors can negatively impact the performance of ordinary least squares estimators. The Stein and ridge estimators…”
Get full text

Modified ridge-type estimator for the gamma regression model by Lukman, Adewale F., Ayinde, Kayode, Kibria, B. M. Golam, Adewuyi, Emmanuel T.

“…The modified ridge-type estimator has been shown to cushion the effects of multicollinearity in the linear regression model. Recent studies have shown the…”
Get full text

Predictive modelling of COVID-19 confirmed cases in Nigeria by Ogundokun, Roseline O., Lukman, Adewale F., Kibria, Golam B.M., Awotunde, Joseph B., Aladeitan, Benedita B.

“…The coronavirus outbreak is the most notable world crisis since the Second World War. The pandemic that originated from Wuhan, China in late 2019 has affected…”
Get full text

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…”
Get full text

K‐L estimator for the linear mixed models: Computation and simulation by Lukman, Adewale F., Amin, Muhammad, Kibria, B. M. Golam

“…This study introduces a new biased estimator called the K‐L estimator for the linear mixed model to overcome the effect of multicollinearity. We derived the…”
Get full text

Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning by Ajao, Lukman Adewale, Apeh, Simon Tooswem

“…•Design and modeling of a secured smart cities edge computing architecture.•A secure trust-aware philosopher privacy and authentication model (STAPPA) for…”
Get full text

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…”
Get full text