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Academician profile · PROFESÖR

MAHMUDE REVAN ÖZKALE ATICIOĞLU

ÇUKUROVA ÜNİVERSİTESİ

  • Ana Dal Fen Bilimleri ve Matematik Temel Alanı
  • Yan Dal İstatistik
  • FEN-EDEBİYAT FAKÜLTESİ
  • İSTATİSTİK BÖLÜMÜ
Articles YÖKSİS 67
Projects 0
Books 0
Proceedings 0
Patents 0
Artistic 0
Scopus (SJR)
Q1 6 Q2 24 Q3 29 Q4 0
WoS (JCR)
Q1 4 Q2 7 Q3 29 Q4 20
TR Index 2 articles

Scopus (SJR)

WoS (JCR)

TR Index

2 articles

67 publications total

Articles

  1. 2025 Restricted Liu estimator under stochastic linear restrictions in generalized linear models: theory and applications COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION DOI 10.1080/03610918.2023.2285027
  2. 2025 Performance analysis of shrinkage estimators in Conway-Maxwell-Poisson regression model COMMUNICATIONS IN STATISTICS-THEORY AND METHODS DOI 10.1080/03610926.2025.2484449
  3. 2025 Iterative Stochastic Restricted r-k Class Estimator in Generalized Linear Models: Application on Logistic Regression IRANIAN JOURNAL OF SCIENCE DOI 10.1007/s40995-024-01724-7
  4. 2025 The r-d class estimator under exact linear restrictions in generalized linear models: Theory, simulation and application Hacettepe Journal of Mathematics and Statistics DOI 10.15672/hujms.1638426
  5. 2024 Regularization and variable selection with triple shrinkage in linear regression: a generalization of lasso COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION DOI 10.1080/03610918.2023.2173780
  6. 2024 A Novel Regularized Extreme Learning Machine Based on L1-Norm and L2-Norm: a Sparsity Solution Alternative to Lasso and Elastic Net COGNITIVE COMPUTATION DOI 10.1007/s12559-023-10220-w
  7. 2024 Lasso regression under stochastic restrictions in linear regression: An application to genomic data COMMUNICATIONS IN STATISTICS-THEORY AND METHODS DOI 10.1080/03610926.2022.2149243
  8. 2024 Detecting shifts in Conway-Maxwell-Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity STATISTICAL PAPERS DOI 10.1007/s00362-023-01399-z
  9. 2024 The ridge prediction error sum of squares statistic in linear mixed models METRIKA DOI 10.1007/s00184-023-00927-z
  10. 2024 Deviance residual-based Shewhart control chart for monitoring Conway-Maxwell-Poisson profile under the r-k class estimator QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT DOI 10.1080/16843703.2023.2259589
  11. 2024 Iterative stochastic restricted $r-d$ class estimator in generalized linear models: application to binomial, Poisson and negative binomial distributions Hacettepe Journal of Mathematics and Statistics DOI 10.15672/hujms.1261283
  12. 2023 Comparison of deviance and ridge deviance residual-based control charts for monitoring Poisson profiles COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION DOI 10.1080/03610918.2020.1870693
  13. 2023 A combination of ridge and Liu regressions for extreme learning machine SOFT COMPUTING DOI 10.1007/s00500-022-07745-x
  14. 2023 Bootstrap selection of ridge regularization parameter: a comparative study via a simulation study COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION DOI 10.1080/03610918.2021.1948574
  15. 2023 Bootstrap confidence interval of ridge regression in linear regression model: A comparative study via a simulation study COMMUNICATIONS IN STATISTICS-THEORY AND METHODS DOI 10.1080/03610926.2022.2045024
  16. 2022 Iterative restricted OK estimator in generalized linear models and the selection of tuning parameters via MSE and genetic algorithm STATISTICAL PAPERS DOI 10.1007/s00362-022-01304-0
  17. 2022 Conway-Maxwell Poisson regression-based control charts under iterative Liu estimator for monitoring count data APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY DOI 10.1002/asmb.2682
  18. 2022 Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE DOI 10.1002/cpe.7366
  19. 2021 The red indicator and corrected VIFs in generalized linear models COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION DOI 10.1080/03610918.2019.1639740
  20. 2021 Usage of the GO estimator in high dimensional linear models COMPUTATIONAL STATISTICS DOI 10.1007/s00180-020-01001-2

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