B M Golam Kibria

Professor

Florida International University

United States

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Dr. B M Golam Kibria is a Professor at Florida International University in the United States. His research focuses on regression analysis, particularly the development and evaluation of robust estimation techniques in the presence of multicollinearity and outliers. Recent publications highlight his work on various regression models, including the Liu and Kibria–Lukman models, and their applications within hydrological data analysis.

B M Golam Kibria

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Articles (29)

On Some Test Statistics for Coefficients in the Ridge, Liu and Kibria–Lukman Linear Regression Models: A Simulation Study

Coverage-based performance of confidence intervals for linear regression coefficients under multicollinearity: Simulation and application

A Simulation-Based Comparative Analysis of Two-Parameter Robust Ridge M-Estimators for Linear Regression Models

Enhancing a robust Poisson regression estimator for multicollinear and outliered data: Simulation and application

A Bounded Sine Skewed Model for Hydrological Data Analysis

Mitigating multicollinearity and outliers in regression: comparison of some new and old robust ridge M-estimators

On some biased estimators for estimating the parameters of the Waring regression model with correlated regressors

Evaluating Estimator Performance Under Multicollinearity: A Trade-Off Between MSE and Accuracy in Logistic, Lasso, Elastic Net, and Ridge Regression with Varying Penalty Parameters

The iterative restricted r − k class estimator with exact linear restrictions in generalized linear models: theory, simulation and application

Influence measures in gamma modified ridge type estimator

Performance of some estimators for the multicollinear logistic regression model: theory, simulation, and applications

Handling linear dependency in linear regression models: Almost unbiased modified ridge-type estimator

On the preliminary test Kibria-Lukman estimator for the linear regression model

Design and Implementation of a Deep Learning Model and Stochastic Model for the Forecasting of the Monthly Lake Water Level

On some two parameter estimators for the linear regression models with correlated predictors: simulation and application

Improved Breitung and Roling estimator for mixed-frequency models with application to forecasting inflation rates

New Vessel Extraction Method by Using Skew Normal Distribution for MRA Images

Simulation comparison of modified confidence intervals based on robust estimators for coefficient of variation: skewed distributions case with real applications

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

A generalized difference-based mixed two-parameter estimator in partially linear model

Generalized two-parameter estimators in the multinomial logit regression model: methods, simulation and application

The Impact of COVID-19-Induced Responsibilities on Women’s Employment in Arab Countries

On the Estimation of the Binary Response Model

Modified ridge-type estimator for the gamma regression model

A new improved Liu estimator for the QSAR model with inverse Gaussian response

A new class of efficient and debiased two-step shrinkage estimators: method and application

Wrong-way driving crash injury analysis on arterial road networks using non-parametric data mining techniques

A new Stein estimator for the zero‐inflated negative binomial regression model

On the performance of some biased estimators in the gamma regression model: simulation and applications

Collaborators (4)

Nahid Fatima

Zoran Bursac

Muhammad Qasim

Adewale Lukman

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