Search Results - "Zakariya Algamal"

Performance of ridge estimator in inverse Gaussian regression model by Yahya Algamal, Zakariya

“…The presence of multicollinearity among the explanatory variables has undesirable effects on the maximum likelihood estimator (MLE). Ridge estimator (RE) is a…”
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Feature Selection Using Different Transfer Functions for Binary Bat Algorithm by Qasim, Omar Saber, Algamal, Zakariya Y.

“…The selection feature is an important and fundamental step in the preprocessing of many classification and machine learning problems. The feature selection…”
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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…”
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Developing a ridge estimator for the gamma regression model by Algamal, Zakariya Yahya

“…The ridge regression model has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The gamma…”
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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…”
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A New Ridge-Type Estimator for the Gamma regression model by Salih, Ahmed Maher, Algamal, Zakariya, Khaleel, Mundher Abdullah

“… When there is collinearity among the regressors in gamma regression models, we present a newtwo-parameter ridge estimator in this study. We look into the new…”
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Shrinkage parameter selection via modified cross-validation approach for ridge regression model by Algamal, Zakariya Yahya

“…The ridge regression estimator has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The choice…”
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Improving binary crow search algorithm for feature selection by Hamed Alnaish, Zakaria A., Algamal, Zakariya Yahya

“…The feature selection (FS) process has an essential effect in solving many problems such as prediction, regression, and classification to get the optimal…”
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Liu-type estimator for the gamma regression model by Algamal, Zakariya Yahya, Asar, Yasin

“…In this paper, we propose a new biased estimator called Liu-type estimator in gamma regression models in the presence of collinearity. We also consider some…”
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Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm by Al-kababchee, Sarah Ghanim Mahmood, Algamal, Zakariya Yahya, Qasim, Omar Saber

“…Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a…”
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Improved estimators in bell regression model with application by Seifollahi, Solmaz, Bevrani, Hossein, Algamal, Zakariya Yahya

“…In this paper, we propose the application of shrinkage strategies to estimate coefficients in the Bell regression models when prior information about the…”
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Variable selection in Poisson regression model based on chaotic meta-heuristic search algorithm by Alangood, Heyaa Nadhim Ahmed, Algamal, Zakariya Yahya, Khaleel, Mundher Abdullah

“…By determining the most significant variables that are connected to the response variable, Increasing prediction accuracy and processing speed can be achieved…”
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Kernel semi-parametric model improvement based on quasi-oppositional learning pelican optimization algorithm by Zakariya Algamal, Firas AL-Taie, Omar Qasim

“…Statistical modeling is essential in many scientific research areas because it explains the relationship between the response variable of interest and a number…”
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A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification by Algamal, Zakariya Yahya, Lee, Muhammad Hisyam

“…The common issues of high-dimensional gene expression data are that many of the genes may not be relevant, and there exists a high correlation among genes…”
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Developing a Liu‐type estimator in beta regression model by Algamal, Zakariya Yahya, Abonazel, Mohamed R.

“…The beta regression model is a commonly used when the response variable has the form of fractions or percentages. The maximum likelihood (ML) estimator is used…”
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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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Modified Jackknifed Ridge Estimator in Bell Regression Model: Theory, Simulation and Applications by Zakariya Algamal, Adewale Lukman, B. M. Kibria Golam, Arowolo Taofik

“…Regression models explore the relationship between the response variable and one or more explanatory variables. It becomes practically challenging in real-life…”
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Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning by Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…Many real problems have been solved by support vector regression, especially v‐support vector regression (v‐SVR), but there are hyperparameters that usually…”
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Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification by Al-Thanoon, Niam Abdulmunim, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…In cancer classification, gene selection is one of the most important bioinformatics related topics. The selection of genes can be considered to be a variable…”
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Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution by Ahmed, Ahmed Abdulhadi, Algamal, Zakariya Yahya, Albalawi, Olayan

“…The exponentiated Teissier distribution (ETD) offers an alternative for modeling survival data, taking into account flexibility in modeling data with…”
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