Works matching AU Algamal, Zakariya Yahya
Results: 57
A new improvement Liu-type estimator for the Bell regression model.
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- Communications in Statistics: Simulation & Computation, 2025, v. 54, n. 3, p. 603, doi. 10.1080/03610918.2023.2252624
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- Article
A Cox Proportional-Hazards Model Based on an Improved Aquila Optimizer with Whale Optimization Algorithm Operators.
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- Mathematics (2227-7390), 2022, v. 10, n. 8, p. N.PAG, doi. 10.3390/math10081273
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Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model.
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- Mathematics (2227-7390), 2021, v. 9, n. 18, p. 2321, doi. 10.3390/math9182321
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Jackknifing Ridge Estimator for Logistic Regression Model.
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- Pakistan Journal of Statistics & Operation Research, 2022, v. 18, n. 4, p. 955, doi. 10.18187/pjsor.v18i4.3748
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- Article
Spatiotemporal variation analysis of Tigris River water quality in Mosul, Iraq during 2020–2023 based on environmetric techniques.
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- Environmental Earth Sciences, 2025, v. 84, n. 2, p. 1, doi. 10.1007/s12665-024-12086-z
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Liu-type estimator for the gamma regression model.
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- Communications in Statistics: Simulation & Computation, 2020, v. 49, n. 8, p. 2035, doi. 10.1080/03610918.2018.1510525
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Shrinkage parameter selection via modified cross-validation approach for ridge regression model.
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- Communications in Statistics: Simulation & Computation, 2020, v. 49, n. 7, p. 1922, doi. 10.1080/03610918.2018.1508704
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Bayesian bridge quantile regression.
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- Communications in Statistics: Simulation & Computation, 2019, v. 48, n. 3, p. 944, doi. 10.1080/03610918.2017.1402042
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IMPROVING WHALE OPTIMIZATION ALGORITHM FOR FEATURE SELECTION WITH A TIME-VARYING TRANSFER FUNCTION.
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- Numerical Algebra, Control & Optimization, 2021, v. 11, n. 1, p. 87, doi. 10.3934/naco.2020017
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- Article
Jackknifed Liu-type Estimator in Poisson Regression Model.
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- Journal of the Iranian Statistical Society, 2020, v. 19, n. 1, p. 21, doi. 10.29252/jirss.19.1.21
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Developing a Liu‐type estimator in beta regression model.
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- Concurrency & Computation: Practice & Experience, 2022, v. 34, n. 5, p. 1, doi. 10.1002/cpe.6685
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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.
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- Journal of Chemometrics, 2020, v. 34, n. 11, p. 1, doi. 10.1002/cem.3311
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Least absolute deviation estimator‐bridge variable selection and estimation for quantitative structure–activity relationship model.
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- Journal of Chemometrics, 2019, v. 33, n. 7, p. N.PAG, doi. 10.1002/cem.3139
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- Article
Developing a ridge estimator for the gamma regression model.
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- Journal of Chemometrics, 2018, v. 32, n. 10, p. N.PAG, doi. 10.1002/cem.3054
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A novel molecular descriptor selection method in QSAR classification model based on weighted penalized logistic regression.
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- Journal of Chemometrics, 2017, v. 31, n. 10, p. n/a, doi. 10.1002/cem.2915
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High-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives based on the sparse logistic regression model with a bridge penalty.
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- Journal of Chemometrics, 2017, v. 31, n. 6, p. n/a, doi. 10.1002/cem.2889
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Quantitative structure-activity relationship model for prediction study of corrosion inhibition efficiency using two-stage sparse multiple linear regression.
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- Journal of Chemometrics, 2016, v. 30, n. 7, p. 361, doi. 10.1002/cem.2800
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High-dimensional quantitative structure-activity relationship modeling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on a two-stage adaptive penalized rank regression.
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- Journal of Chemometrics, 2016, v. 30, n. 2, p. 50, doi. 10.1002/cem.2766
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High-dimensional QSAR prediction of anticancer potency of imidazo[4,5-b]pyridine derivatives using adjusted adaptive LASSO.
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- Journal of Chemometrics, 2015, v. 29, n. 10, p. 547, doi. 10.1002/cem.2741
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Improving Penalized Logistic Regression Model with Missing Values in High-Dimensional Data.
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- International Journal of Online & Biomedical Engineering, 2022, v. 18, n. 2, p. 40, doi. 10.3991/ijoe.v18i02.25047
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Classification of Breast Cancer Histopathological Images using Adaptive Penalized Logistic Regression with Wilcoxon Rank Sum Test.
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- Electronic Journal of Applied Statistical Analysis, 2023, v. 16, n. 3, p. 507, doi. 10.1285/i20705948v16n3p507
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Restricted ridge estimator in the Inverse Gaussian regression model.
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- Electronic Journal of Applied Statistical Analysis, 2022, v. 15, n. 3, p. 574, doi. 10.1285/i20705948v15n3p574
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Almost Unbiased Ridge Estimator in the Inverse Gaussian Regression Model.
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- Electronic Journal of Applied Statistical Analysis, 2022, v. 15, n. 3, p. 510, doi. 10.1285/i20705948v15n3p510
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Almost unbiased ridge estimator in the count data regression models.
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- Electronic Journal of Applied Statistical Analysis, 2021, v. 14, n. 1, p. 44, doi. 10.1285/i20705948v14n1p44
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Variable selection in gamma regression model using chaotic firefly algorithm with application in chemometrics.
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- Electronic Journal of Applied Statistical Analysis, 2021, v. 14, n. 1, p. 266, doi. 10.1285/i20705948v14n1p266
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Generalized ridge estimator shrinkage estimation based on Harris hawks optimization algorithm.
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- Electronic Journal of Applied Statistical Analysis, 2021, v. 14, n. 1, p. 254, doi. 10.1285/i20705948v14n1p254
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Adjusted R² - type measures for beta regression model.
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- Electronic Journal of Applied Statistical Analysis, 2020, v. 13, n. 2, p. 350, doi. 10.1285/i20705948v13n2p350
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A QSAR classification model of skin sensitization potential based on improving binary crow search algorithm.
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- Electronic Journal of Applied Statistical Analysis, 2020, v. 13, n. 1, p. 86, doi. 10.1285/i20705948v13n1p86
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A particle swarm optimization method for variable selection in beta regression model.
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- Electronic Journal of Applied Statistical Analysis, 2019, v. 12, n. 2, p. 508, doi. 10.1285/i20705948v12n2p508
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A new two-parameter estimator for the inverse Gaussian regression model with application in chemometrics.
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- Electronic Journal of Applied Statistical Analysis, 2019, v. 12, n. 2, p. 453, doi. 10.1285/i20705948v12n2p453
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Proposed methods in estimating the ridge regression parameter in Poisson regression model.
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- Electronic Journal of Applied Statistical Analysis, 2018, v. 11, n. 2, p. 506, doi. 10.1285/i20705948v11n2p506
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Shrinkage estimators for gamma regression model.
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- Electronic Journal of Applied Statistical Analysis, 2018, v. 11, n. 1, p. 253, doi. 10.1285/i20705948v11n1p253
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Classification of gene expression autism data based on adaptive penalized logistic regression.
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- Electronic Journal of Applied Statistical Analysis, 2017, v. 10, n. 2, p. 561, doi. 10.1285/i20705948v10n2p561
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An efficient gene selection method for high-dimensional microarray data based on sparse logistic regression.
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- Electronic Journal of Applied Statistical Analysis, 2017, v. 10, n. 1, p. 242, doi. 10.1285/i20705948v10n1p242
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Reliability Estimation of Three Parameters Weibull Distribution based on Particle Swarm Optimization.
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- Pakistan Journal of Statistics & Operation Research, 2021, v. 17, n. 1, p. 35, doi. 10.18187/pjsor.v17i1.2354
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High Dimensional Logistic Regression Model using Adjusted Elastic Net Penalty.
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- Pakistan Journal of Statistics & Operation Research, 2015, v. 11, n. 4, p. 667, doi. 10.18187/pjsor.v11i4.990
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Improving Support vector machine for Imbalanced big data classification.
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- Journal of Intelligent Systems & Internet of Things, 2024, v. 11, n. 2, p. 22, doi. 10.54216/JISIoT.110202
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A Hybrid Pelican Optimization Algorithm and Black Hole Algorithm for Kernel Semi-Parametric Fusion Modeling.
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- Fusion: Practice & Applications, 2023, v. 11, n. 1, p. 57, doi. 10.54216/FPA.110104
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- Article
Performance of ridge estimator in inverse Gaussian regression model.
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- Communications in Statistics: Theory & Methods, 2019, v. 48, n. 15, p. 3836, doi. 10.1080/03610926.2018.1481977
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- Article
Hybrid time series and ANN-based ELM model on JSE/FTSE closing stock prices.
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- Frontiers in Applied Mathematics & Statistics, 2024, p. 01, doi. 10.3389/fams.2024.1454595
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The generalized STAR modeling with minimum spanning tree approach of spatial weight matrix.
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- Frontiers in Applied Mathematics & Statistics, 2024, p. 1, doi. 10.3389/fams.2024.1417037
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The seasonal model of chili price movement with the effect of long memory and exogenous variables for improving time series model accuracy.
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- Frontiers in Applied Mathematics & Statistics, 2024, p. 1, doi. 10.3389/fams.2024.1408381
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Asymmetric generalized error distribution with its properties and applications.
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- Frontiers in Applied Mathematics & Statistics, 2024, p. 1, doi. 10.3389/fams.2024.1398137
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Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution.
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- Frontiers in Applied Mathematics & Statistics, 2024, p. 01, doi. 10.3389/fams.2024.1351651
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Enhancement of Kernel Clustering Based on Pigeon Optimization Algorithm.
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- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 2023, v. 31, p. 121, doi. 10.1142/S021848852340007X
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MODIFIED RIDGE ESTIMATOR IN ZERO-INFLATED POISSON REGRESSION MODEL.
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- International Journal of Agricultural & Statistical Sciences, 2022, v. 18, p. 1245
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IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM.
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- Informatics Control Measurement in Economy & Environment Protection / Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2024, v. 14, n. 2, p. 113, doi. 10.35784/iapgos.5729
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Modeling bladder cancer survival function based on neutrosophic inverse Gompertz distribution.
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- International Journal of Neutrosophic Science (IJNS), 2025, v. 25, n. 1, p. 75, doi. 10.54216/IJNS.250106
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Neutrosophic Topp-Leone Extended Exponential distribution modeling with application for bladder cancer patients.
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- International Journal of Neutrosophic Science (IJNS), 2025, v. 25, n. 1, p. 239, doi. 10.54216/IJNS.250122
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Neutrosophic Beta-Lindley distribution: Mathematical properties and modeling bladder cancer data.
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- International Journal of Neutrosophic Science (IJNS), 2024, v. 23, n. 2, p. 186, doi. 10.54216/IJNS.230215
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