The restricted and unrestricted two-parameter estimators MR Özkale, S Kaciranlar Communications in Statistics—Theory and Methods 36 (15), 2707-2725, 2007 | 204 | 2007 |
On the almost unbiased generalized Liu estimator and unbiased estimation of the bias and MSE F Akdeniz, S Kaçiranlar Communications in Statistics-Theory and Methods 24 (7), 1789-1797, 1995 | 190 | 1995 |
A new biased estimator in linear regression and a detailed analysis of the widely-analysed dataset on Portland cement S Kaçiranlar, S Sakallioğlu, F Akdeniz, GPH Styan, HJ Werner Sankhyā: The Indian Journal of Statistics, Series B, 443-459, 1999 | 178 | 1999 |
A new biased estimator based on ridge estimation S Sakallıoğlu, S Kaçıranlar Statistical Papers 49, 669-689, 2008 | 103 | 2008 |
Combining the Liu estimator and the principal component regression estimator S Kaçıranlar, S Sakallıoğlu Taylor & Francis Group 30 (12), 2699-2705, 2001 | 92 | 2001 |
Mean squared error comparisons of some biased regression estimators S Sakallioğlu, S Kaçiranlar, F Akdeniz Communications in Statistics-Theory and Methods 30 (2), 347-361, 2001 | 49 | 2001 |
On the restricted Liu estimator in the logistic regression model GÜ Şiray, S Toker, S Kaçiranlar Communications in Statistics-Simulation and Computation 44 (1), 217-232, 2015 | 42 | 2015 |
On the performance of the Poisson and the negative binomial ridge predictors S Kaçıranlar, I Dawoud Communications in Statistics-Simulation and Computation 47 (6), 1751-1770, 2018 | 36 | 2018 |
On the performance of two parameter ridge estimator under the mean square error criterion S Toker, S Kaçıranlar Applied Mathematics and Computation 219 (9), 4718-4728, 2013 | 36 | 2013 |
More on the new biased estimator in linear regression F Akdeniz, S Kaçiranlar Sankhyā: The Indian Journal of Statistics, Series B, 321-325, 2001 | 34 | 2001 |
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 |
Liu estimator in the general linear regression model S Kaçiranlar Journal of Applied Statistical Science 13, 229-234, 2003 | 27 | 2003 |
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 |
Mean square error comparisons of the alternative estimators for the distributed lag models B Gültay, S Kaçıranlar Hacettepe Journal of Mathematics and Statistics 44 (5), 1215-1233, 2015 | 23 | 2015 |
The Almon two parameter estimator for the distributed lag models N Özbay, S Kaçıranlar Journal of Statistical Computation and Simulation 87 (4), 834-843, 2017 | 22 | 2017 |
Mean squared error comparisons of the modified ridge regression estimator and iiie restricted ridge regression estimator S Kaciranlar, S Sakallioglu, F Akdeniz Communications in Statistics-Theory and Methods 27 (1), 131-138, 1998 | 22 | 1998 |
A comparison of mixed and ridge estimators of linear models H Güler, S Kaçıranlar Communications in Statistics—Simulation and Computation® 38 (2), 368-401, 2009 | 20 | 2009 |
Improved two-parameter estimators for the negative binomial and Poisson regression models M Kandemir Çetinkaya, S Kaçıranlar Journal of Statistical Computation and Simulation 89 (14), 2645-2660, 2019 | 19 | 2019 |
Robust Liu-type estimator for regression based on M-estimator H Ertaş, S Kaçıranlar, H Güler Communications in Statistics-Simulation and Computation 46 (5), 3907-3932, 2017 | 18 | 2017 |
r − k Class estimator in the linear regression model with correlated errors G Üstündagˇ Şiray, S Kaçıranlar, S Sakallıoğlu Statistical Papers 55, 393-407, 2014 | 18 | 2014 |