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A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications

Scientifica (Cairo), 2020, Vol.2020, p.9758378-16

2020

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A new estimator for the multicollinear Poisson regression model: simulation and application

Scientific reports, 2021-02, Vol.11 (1), p.3732-3732, Article 3732

2021

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Robust-stein estimator for overcoming outliers and multicollinearity

Scientific reports, 2023-06, Vol.13 (1), p.9066-9066, Article 9066

2023

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Predictive modelling of COVID-19 confirmed cases in Nigeria

Infectious disease modelling, 2020-01, Vol.5, p.543-548

2020

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Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria

Scientific reports, 2021-08, Vol.11 (1), p.16848-16848, Article 16848

2021

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Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression

Symmetry (Basel), 2024-04, Vol.16 (4), p.469

2024

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A Modified New Two-Parameter Estimator in a Linear Regression Model

Modelling and Simulation in Engineering, 2019-01, Vol.2019, p.1-10

2019

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K-L Estimator: Dealing with Multicollinearity in the Logistic Regression Model

Mathematics (Basel), 2023-01, Vol.11 (2), p.340

2023

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Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model

TheScientificWorld, 2020, Vol.2020, p.1-24

2020

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The efficiency of Raphia hookeri adsorbent in indigo carmine dye removal: Economy depth via chemometrics

Heliyon, 2024-06, Vol.10 (11), p.e32121, Article e32121

2024

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COVID-19 prevalence estimation: Four most affected African countries

Infectious disease modelling, 2020-01, Vol.5, p.827-838

2020

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Performance of the Ridge and Liu Estimators in the zero-inflated Bell Regression Model

Journal of mathematics (Hidawi), 2022, Vol.2022 (1)

2022

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A New Ridge-Type Estimator for the Gamma Regression Model

Scientifica (Cairo), 2021, Vol.2021, p.1-8

2021

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Modified ridge‐type estimator to combat multicollinearity: Application to chemical data

Journal of chemometrics, 2019-05, Vol.33 (5), p.n/a

2019

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Robust biased estimators for Poisson regression model: Simulation and applications

Concurrency and computation, 2023-03, Vol.35 (7), p.n/a

2023

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Modeling the relationship between malaria prevalence and insecticide-treated bed net coverage in Nigeria using a Bayesian spatial generalized linear mixed model with a Leroux prior

Epidemiology and health, 2021-06, Vol.43, p.e2021041-e2021041

2021

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Modified One-Parameter Liu Estimator for the Linear Regression Model

Modelling and Simulation in Engineering, 2020, Vol.2020, p.1-17

2020

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Modified ridge-type for the Poisson regression model: simulation and application

Journal of applied statistics, 2022-06, Vol.49 (8), p.2124-2136

2022

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Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation [version 1; peer review: 3 approved with reservations]

F1000 research, 2021, Vol.10, p.548

2021

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Surface functionalized plant residue in cu2+ scavenging: Chemometrics of operational parameters for process economy validation

South African journal of chemical engineering, 2022-04, Vol.40, p.144-153

2022

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Liu regression after random forest for prediction and modeling in high dimension

Journal of chemometrics, 2022-04, Vol.36 (4), p.n/a

2022

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Unbiased K-L estimator for the linear regression model [version 1; peer review: 2 approved, 1 approved with reservations]

F1000 research, 2021, Vol.10, p.832-832

2021

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Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators

Chaos, solitons and fractals, 2020-09, Vol.138, p.109911-109911, Article 109911

2020

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Enhancing model predictions through the fusion of stein estimator and principal component regression

Journal of statistical computation and simulation, 2024-05, Vol.94 (8), p.1760-1775

2024

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The KL estimator for the inverse Gaussian regression model

Concurrency and computation, 2021-07, Vol.33 (13), p.n/a

2021

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A New Ridge-Type Estimator for the Linear Regression Model: Simulations and Applications

A new estimator for the multicollinear Poisson regression model: simulation and application

Robust-stein estimator for overcoming outliers and multicollinearity

Predictive modelling of COVID-19 confirmed cases in Nigeria

Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria

Enhanced Model Predictions through Principal Components and Average Least Squares-Centered Penalized Regression

A Modified New Two-Parameter Estimator in a Linear Regression Model

K-L Estimator: Dealing with Multicollinearity in the Logistic Regression Model

Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model

The efficiency of Raphia hookeri adsorbent in indigo carmine dye removal: Economy depth via chemometrics

COVID-19 prevalence estimation: Four most affected African countries

Performance of the Ridge and Liu Estimators in the zero-inflated Bell Regression Model

A New Ridge-Type Estimator for the Gamma Regression Model

Modified ridge‐type estimator to combat multicollinearity: Application to chemical data

Robust biased estimators for Poisson regression model: Simulation and applications

Modeling the relationship between malaria prevalence and insecticide-treated bed net coverage in Nigeria using a Bayesian spatial generalized linear mixed model with a Leroux prior

Modified One-Parameter Liu Estimator for the Linear Regression Model

Modified ridge-type for the Poisson regression model: simulation and application

Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation [version 1; peer review: 3 approved with reservations]

Surface functionalized plant residue in cu2+ scavenging: Chemometrics of operational parameters for process economy validation

Liu regression after random forest for prediction and modeling in high dimension

Unbiased K-L estimator for the linear regression model [version 1; peer review: 2 approved, 1 approved with reservations]

Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators

Enhancing model predictions through the fusion of stein estimator and principal component regression

The KL estimator for the inverse Gaussian regression model

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