The restricted and unrestricted two-parameter estimators MR Özkale, S Kaciranlar Communications in Statistics—Theory and Methods 36 (15), 2707-2725, 2007 | 204 | 2007 |
Liu estimation in generalized linear models: application on gamma distributed response variable F Kurtoğlu, MR Özkale Statistical Papers 57, 911-928, 2016 | 62 | 2016 |
A stochastic restricted ridge regression estimator MR Özkale Journal of multivariate analysis 100 (8), 1706-1716, 2009 | 59 | 2009 |
The performance of ELM based ridge regression via the regularization parameters H Yildirim, MR Özkale Expert Systems with Applications 134, 225-233, 2019 | 35 | 2019 |
A jackknifed ridge estimator in the linear regression model with heteroscedastic or correlated errors MR Özkale Statistics & probability letters 78 (18), 3159-3169, 2008 | 33 | 2008 |
An evaluation of ridge estimator in linear mixed models: an example from kidney failure data MR Özkale, F Can Journal of Applied Statistics 44 (12), 2251-2269, 2017 | 32 | 2017 |
More on the restricted ridge regression estimation S Kaçıranlar, S Sakallıoğlu, MR Özkale, H Güler Journal of Statistical Computation and Simulation 81 (11), 1433-1448, 2011 | 30 | 2011 |
Combining unbiased ridge and principal component regression estimators FSM Batah, MR Özkale, SD Gore Communications in Statistics—Theory and Methods 38 (13), 2201-2209, 2009 | 30 | 2009 |
A prediction-oriented criterion for choosing the biasing parameter in Liu estimation MR Özkale, S Kaçıranlar Communications in Statistics—Theory and Methods 36 (10), 1889-1903, 2007 | 26 | 2007 |
Logistic regression diagnostics in ridge regression MR Özkale, S Lemeshow, R Sturdivant Computational Statistics 33, 563-593, 2018 | 23 | 2018 |
Iterative algorithms of biased estimation methods in binary logistic regression MR Özkale Statistical Papers 57, 991-1016, 2016 | 20 | 2016 |
A new biased estimator in logistic regression model MR Özkale, E Arıcan Statistics 50 (2), 233-253, 2016 | 20 | 2016 |
Principal components regression estimator and a test for the restrictions MR Özkale Statistics 43 (6), 541-551, 2009 | 20 | 2009 |
Profile monitoring for count data using Poisson and Conway–Maxwell–Poisson regression-based control charts under multicollinearity problem U Mammadova, MR Özkale Journal of Computational and Applied Mathematics 388, 113275, 2021 | 19 | 2021 |
The relative efficiency of the restricted estimators in linear regression models MR Özkale Journal of Applied Statistics 41 (5), 998-1027, 2014 | 17 | 2014 |
Gilmour's approach to mixed and stochastic restricted ridge predictions in linear mixed models Ö Kuran, MR Özkale Linear Algebra and Its Applications 508, 22-47, 2016 | 16 | 2016 |
Predictive performance of linear regression models MR Özkale Statistical Papers 56 (2), 531-567, 2015 | 16 | 2015 |
Superiority of the rd class estimator over some estimators by the mean square error matrix criterion MR Özkale, S Kaçıranlar Statistics & probability letters 77 (4), 438-446, 2007 | 16 | 2007 |
An enhanced extreme learning machine based on Liu regression H Yıldırım, MR Özkale Neural Processing Letters 52, 421-442, 2020 | 13 | 2020 |
Influence measures in affine combination type regression MR Özkale Journal of Applied Statistics 40 (10), 2219-2243, 2013 | 13 | 2013 |