Search Results - "Adewale Lukman"
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Modified ridge‐type estimator to combat multicollinearity: Application to chemical data
Published in Journal of chemometrics (01-05-2019)“…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…”
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2
Robust biased estimators for Poisson regression model: Simulation and applications
Published in Concurrency and computation (25-03-2023)“…Summary The method of maximum likelihood flops when there is linear dependency (multicollinearity) and outlier in the generalized linear models. In this study,…”
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3
Modified ridge-type for the Poisson regression model: simulation and application
Published in Journal of applied statistics (11-06-2022)“…The Poisson regression model (PRM) is employed in modelling the relationship between a count variable (y) and one or more explanatory variables. The parameters…”
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4
A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications
Published in Scientifica (Cairo) (2020)“…The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consistently attractive shrinkage methods to reduce the effects of…”
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5
Liu regression after random forest for prediction and modeling in high dimension
Published in Journal of chemometrics (01-04-2022)“…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…”
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Blood level of cadmium and lead in occupationally exposed persons in Gwagwalada, Abuja, Nigeria
Published in Interdisciplinary toxicology (01-09-2015)“…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…”
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A new estimator for the multicollinear Poisson regression model: simulation and application
Published in Scientific reports (12-02-2021)“…The maximum likelihood estimator (MLE) suffers from the instability problem in the presence of multicollinearity for a Poisson regression model (PRM). In this…”
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8
Persistence and volatility spillovers of bitcoin price to gold and silver prices
Published in Resources policy (01-12-2022)“…The paper investigates persistence, returns and volatility spillovers from the bitcoin market to the gold and silver markets using daily datasets from January…”
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9
Enhancing model predictions through the fusion of stein estimator and principal component regression
Published in Journal of statistical computation and simulation (23-05-2024)“…This research aims to enhance model predictions by introducing a novel approach that combines the Stein estimator technique with principal component regression…”
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Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators
Published in Chaos, solitons and fractals (01-09-2020)“…•COVID-19 remains a major pandemic currently facing all the countries of the world, Nigeria inclusive.•We build some statistical model to the available…”
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Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
Published in Machine learning with applications (15-03-2022)“…Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and…”
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12
The KL estimator for the inverse Gaussian regression model
Published in Concurrency and computation (10-07-2021)“…Multicollinearity poses an undesirable effect on the efficiency of the maximum likelihood estimator (MLE) in both Gaussian and non‐Gaussian regression models…”
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13
Principal component ridge type estimator for the inverse Gaussian regression model
Published in Journal of statistical computation and simulation (03-07-2022)“…The inverse Gaussian regression model (IGRM) is applied when the response variable is continuous, positively skewed and well fitted to the inverse Gaussian…”
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14
Robust-stein estimator for overcoming outliers and multicollinearity
Published in Scientific reports (05-06-2023)“…Linear regression models with correlated regressors can negatively impact the performance of ordinary least squares estimators. The Stein and ridge estimators…”
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15
Modified ridge-type estimator for the gamma regression model
Published in Communications in statistics. Simulation and computation (27-09-2022)“…The modified ridge-type estimator has been shown to cushion the effects of multicollinearity in the linear regression model. Recent studies have shown the…”
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Predictive modelling of COVID-19 confirmed cases in Nigeria
Published in Infectious disease modelling (01-01-2020)“…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…”
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17
Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria
Published in Scientific reports (19-08-2021)“…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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18
K‐L estimator for the linear mixed models: Computation and simulation
Published in Concurrency and computation (10-03-2022)“…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…”
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Secure edge computing vulnerabilities in smart cities sustainability using petri net and genetic algorithm-based reinforcement learning
Published in Intelligent systems with applications (01-05-2023)“…•Design and modeling of a secured smart cities edge computing architecture.•A secure trust-aware philosopher privacy and authentication model (STAPPA) for…”
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20
A Modified New Two-Parameter Estimator in a Linear Regression Model
Published in Modelling and simulation in engineering (01-01-2019)“…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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