Search Results - "Dawoud, Issam"

Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study by Dawoud, Issam

“…COVID-19 is still a major pandemic threatening all the world. In Palestine, there were 26,764 COVID-19 cumulative confirmed cases as of 27th August 2020. In…”
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A New Biased Estimator to Combat the Multicollinearity of the Gaussian Linear Regression Model by Dawoud, Issam, Kibria, B. M. Golam

“…In a multiple linear regression model, the ordinary least squares estimator is inefficient when the multicollinearity problem exists. Many authors have…”
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Modified Liu estimator to address the multicollinearity problem in regression models: A new biased estimation class by Dawoud, Issam, Abonazel, Mohamed R., Awwad, Fuad A.

“…The multicollinearity problem occurrence of the explanatory variables affects the least-squares (LS) estimator seriously in the regression models. The…”
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Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application by Abonazel, Mohamed R., Dawoud, Issam, Awwad, Fuad A., Lukman, Adewale F.

“…The linear regression model becomes unsuitable when the response variable is expressed as percentages, proportions, and rates. The beta regression (BR) model…”
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A new biased regression estimator: Theory, simulation and application by Dawoud, Issam, Lukman, Adewale F., Haadi, Abdul-Rahaman

“…The linear regression model explores the relationship between a response variable and one or more independent variables. The ordinary least squared estimator…”
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Generalized Kibria-Lukman Estimator: Method, Simulation, and Application by Dawoud, Issam, Abonazel, Mohamed R., Awwad, Fuad A.

“…In the linear regression model, the multicollinearity effects on the ordinary least squares (OLS) estimator performance make it inefficient. To solve this,…”
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A New Tobit Ridge-Type Estimator of the Censored Regression Model With Multicollinearity Problem by Dawoud, Issam, Abonazel, Mohamed R., Awwad, Fuad A., Tag Eldin, Elsayed

“…In the censored regression model, the Tobit maximum likelihood estimator is unstable and inefficient in the occurrence of the multicollinearity problem. To…”
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New estimators for the probit regression model with multicollinearity by Abonazel, Mohamed R., Dawoud, Issam, Awwad, Fuad A., Tag-Eldin, Elsayed

“…The probit regression model (PRORM) aims to model a binary response with one or more explanatory variables. The parameter of the PRORM is estimated using an…”
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Developing ridge estimators for the extended Poisson-Tweedie regression model: Method, simulation, and application by Abonazel, Mohamed R., Alzahrani, Ali Rashash R., Saber, Ashrakat Adel, Dawoud, Issam, Tageldin, Elsayed, Azazy, Abeer R.

“…The extended Poisson-Tweedie (EPT) regression model is one of the count data regression models. It's a more flexible model in count data; since EPT model can…”
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New Robust Estimators for Handling Multicollinearity and Outliers in the Poisson Model: Methods, Simulation and Applications by Dawoud, Issam, Awwad, Fuad A., Tag Eldin, Elsayed, Abonazel, Mohamed R.

“…The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive…”
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Biasing Estimator to Mitigate Multicollinearity in Linear Regression Model by Abdulrasheed Bello Badawaire, Issam Dawoud, Adewale Folaranmi Lukman, Victoria Laoye, Arowolo Olatunji

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A New Ridge-Type Estimator for the Gamma Regression Model by Lukman, Adewale F., Dawoud, Issam, Kibria, B. M. Golam, Algamal, Zakariya Y., Aladeitan, Benedicta

“…The known linear regression model (LRM) is used mostly for modelling the QSAR relationship between the response variable (biological activity) and one or more…”
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New biased estimators for the Conway–Maxwell-Poisson Model by Dawoud, Issam

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A new improved estimator for reducing the multicollinearity effects by Dawoud, Issam

“…The least-squares (LS) is a known estimator for the estimation of the linear regression model parameter. The LS is inefficient in the happening of the…”
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Robust Dawoud-Kibria estimator for handling multicollinearity and outliers in the linear regression model by Dawoud, Issam, Abonazel, Mohamed R.

“…In the linear regression model, least-squares (LS) estimator is usually used for estimating regression parameters. LS is an unreliable and unfavourable…”
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Developing robust ridge estimators for Poisson regression model by Abonazel, Mohamed R., Dawoud, Issam

“…The Poisson regression model (PRM) is the standard statistical method of analyzing count data, and it is estimated by a Poisson maximum likelihood (PML)…”
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On the performance of the poisson and the negative binomial ridge predictors by Kaçıranlar, Selahattin, Dawoud, Issam

“…Mansson and Shukur ( 2011 ) investigated the performance of the Poisson ridge regression (PRR) estimator in terms of the mean square error (MSE) criterion…”
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An optimal k of k th MA-ARIMA models under a class of ARIMA model by Dawoud, Issam, Kaçiranlar, Selahattin

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An optimal k of k th MA-ARIMA models under MA( q ) models by Dawoud, Issam, Kaçiranlar, Selahattin

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An optimal k of k th MA-ARIMA models under AR(p) models by Dawoud, Issam, Kaçıranlar, Selahattin

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