Academician profile · PROFESÖR
MAHMUDE REVAN ÖZKALE ATICIOĞLU
- Ana Dal Fen Bilimleri ve Matematik Temel Alanı
- Yan Dal İstatistik
- FEN-EDEBİYAT FAKÜLTESİ
- İSTATİSTİK BÖLÜMÜ
Scopus (SJR)
Q1
6
Q2
24
Q3
29
Q4
0
WoS (JCR)
Q1
4
Q2
7
Q3
29
Q4
20
TR Index
2
articles
Articles
- 2021 The r-k class estimator in generalized linear models applicable with simulation and empirical study using Poisson and Gamma responses
- 2021 Marginal ridge conceptual predictive model selection criterion in linear mixed models
- 2021 Improvement of mixed predictors in linear mixed models
- 2021 LL-ELM: A regularized ELM based on L1 norm and Liu estimator
- 2021 The stochastic restricted ridge estimator in generalized linear models
- 2021 Profile monitoring for count data using Poisson and Conway-Maxwell-Poisson regression-based control charts under multicollinearity problem
- 2021 Identification of outlying and influential data with principal components regression estimation in binary logistic regression
- 2021 Stochastic restricted Liu predictors in linear mixed models
- 2020 A further prediction method in linear mixed models: Liu prediction
- 2020 An Enhanced Extreme Learning Machine Based on Liu Regression
- 2020 Regression diagnostics methods for Liu estimator under the general linear regression model
- 2019 A first-order jackknifed ridge estimator in binary logistic regression
- 2019 Restricted Liu estimator in generalized linear models: Monte Carlo simulation studies on Gamma and Poisson distributed responses
- 2019 The r-d class estimator in generalized linear models: Application on Gamma, Poisson and Binomial distributed responses
- 2019 Restricted ridge regression estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses
- 2019 The Performance of ELM based Ridge Regression via the Regularization Parameters
- 2019 Model selection via conditional conceptual predictive statistic under ridge regression in linear mixed models
- 2019 Adaptation of the jackknifed ridge methods to the linear mixed models
- 2018 Principal components regression and r-k class predictions in linear mixed models
- 2018 Logistic regression diagnostics in ridge regression