Yayınlar

2023

1. Atheist Attitudes Toward Bribery

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
2. Hindu Attitudes Toward Bribery

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
3. Christian Attitudes Toward Bribery

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
4. Religious Attitudes Toward Bribery: A Comparative Study

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
5. Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

   Syed Ejaz Ahmed, Feryaal Ahmed, and Bahadir Yüzbaşı

   2023

   DOI
6. Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

   Bahadır YÜZBAŞI and Çetin GÖRÜR

   Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2023

   Publisher: Van Yuzuncu Yıl University
7. Atheist Attitudes Toward Bribery

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
8. Hindu Attitudes Toward Bribery

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
9. Christian Attitudes Toward Bribery

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   In The Ethics of Bribery, 2023

   DOI
10. Religious Attitudes Toward Bribery: A Comparative Study

    Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

    In The Ethics of Bribery, 2023

    DOI
11. Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

    Syed Ejaz Ahmed, Feryaal Ahmed, and Bahadir Yüzbaşı

    2023
12. Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

    Bahadır YÜZBAŞI and Çetin GÖRÜR

    Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2023

    Publisher: Van Yuzuncu Yıl University

2022

1. Big data analytics: integrating penalty strategies

   S. Ejaz Ahmed and Bahadır Yüzbaşı

   In Big Data and Information Theory, 2022
2. Liu-type shrinkage estimations in linear models

   Bahadır Yüzbaşı, Yasin Asar, and S. Ejaz Ahmed

   Statistics, Mar 2022

   DOI
3. Big data analytics: integrating penalty strategies

   S. Ejaz Ahmed and Bahadır Yüzbaşı

   In Big Data and Information Theory, 2022
4. Liu-type shrinkage estimations in linear models

   Bahadır Yüzbaşı, Yasin Asar, and S. Ejaz Ahmed

   Statistics, Mar 2022

   DOI

2021

1. SLASSO: a scaled LASSO for multicollinear situations

   Mohammad Arashi, Yasin Asar, and Bahadır Yüzbaşı

   Journal of Statistical Computation and Simulation, Oct 2021

   DOI
2. Penalized regression via the restricted bridge estimator

   Bahadır Yüzbaşı, Mohammad Arashi, and Fikri Akdeniz

   Soft Computing, Jul 2021

   DOI
3. Choice of smoothing parameter for kernel type ridge estimators in semiparametric regression models

   Ersin Yilmaz, Bahadir Yuzbasi, and Dursun Aydin

   REVSTAT-Statistical Journal, 2021
4. EXAMINING SPATIAL VARIABILITY IN THE ASSOCIATION BETWEEN SOME FACTORS AND NUMBER OF PRISONERS IN TURKEY: A GWR ANALYSIS

   Bahadır YÜZBAŞI and Çetin GÖRÜR

   Mugla Journal of Science and Technology, 2021

   Publisher: Muğla Sıtkı Koçman Üniversitesi
5. SLASSO: a scaled LASSO for multicollinear situations

   Mohammad Arashi, Yasin Asar, and Bahadır Yüzbaşı

   Journal of Statistical Computation and Simulation, Oct 2021

   DOI
6. Penalized regression via the restricted bridge estimator

   Bahadır Yüzbaşı, Mohammad Arashi, and Fikri Akdeniz

   Soft Computing, Jul 2021

   DOI
7. Choice of smoothing parameter for kernel type ridge estimators in semiparametric regression models

   Ersin Yilmaz, Bahadir Yuzbasi, and Dursun Aydin

   REVSTAT-Statistical Journal, 2021
8. EXAMINING SPATIAL VARIABILITY IN THE ASSOCIATION BETWEEN SOME FACTORS AND NUMBER OF PRISONERS IN TURKEY: A GWR ANALYSIS

   Bahadır YÜZBAŞI and Çetin GÖRÜR

   Mugla Journal of Science and Technology, 2021

   Publisher: Muğla Sıtkı Koçman Üniversitesi

2020

1. Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime

   Bahadır Yüzbaşı, Mohammad Arashi, and S. Ejaz Ahmed

   International Statistical Review, Apr 2020

   Abs DOI

   Summary In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high‐dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real‐data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.

2. Ridge-type pretest and shrinkage estimations in partially linear models

   Bahadır Yüzbaşı, S. Ejaz Ahmed, and Dursun Aydın

   Statistical Papers, Apr 2020

   DOI
3. Does religiosity affect attitudes toward the ethics of tax evasion? The case of Turkey

   Robert W. McGee, Serkan Benk, Bahadır Yüzbaşı, and 1 more author

   Religions, 2020

   Publisher: Mdpi
4. Ridge type shrinkage estimation of seemingly unrelated regressions and analytics of economic and financial data from “fragile five” countries

   Bahadır Yüzbaşı and S. Ejaz Ahmed

   Journal of Risk and Financial Management, 2020

   Publisher: MDPI
5. LAD, LASSO and Related Strategies in Regression Models

   Bahadır Yüzbaşı, Syed Ejaz Ahmed, Mohammad Arashi, and 1 more author

   In Proceedings of the Thirteenth International Conference on Management Science and Engineering Management, 2020

   Series Title: Advances in Intelligent Systems and Computing

   DOI
6. Ridge Type Shrinkage Estimation of Seemingly Unrelated Regressions And Analytics of Economic and Financial Data from" Fragile Five" Countries

   Bahadir Yuzbasi and S. Ejaz Ahmed

   Journal of Risk and Financial Management, 2020

   Publisher: MDPI AG
7. Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High‐Dimension Regime

   Bahadır Yüzbaşı, Mohammad Arashi, and S. Ejaz Ahmed

   International Statistical Review, Apr 2020

   Abs DOI

   Summary In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high‐dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real‐data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.

8. Ridge-type pretest and shrinkage estimations in partially linear models

   Bahadır Yüzbaşı, S. Ejaz Ahmed, and Dursun Aydın

   Statistical Papers, Apr 2020

   DOI
9. Does religiosity affect attitudes toward the ethics of tax evasion? The case of Turkey

   Robert W. McGee, Serkan Benk, Bahadır Yüzbaşı, and 1 more author

   Religions, 2020

   Publisher: Mdpi
10. Ridge type shrinkage estimation of seemingly unrelated regressions and analytics of economic and financial data from “fragile five” countries

    Bahadır Yüzbaşı and S. Ejaz Ahmed

    Journal of Risk and Financial Management, 2020

    Publisher: MDPI
11. LAD, LASSO and Related Strategies in Regression Models

    Bahadır Yüzbaşı, Syed Ejaz Ahmed, Mohammad Arashi, and 1 more author

    In Proceedings of the Thirteenth International Conference on Management Science and Engineering Management, 2020

    Series Title: Advances in Intelligent Systems and Computing

    DOI
12. Ridge Type Shrinkage Estimation of Seemingly Unrelated Regressions And Analytics of Economic and Financial Data from" Fragile Five" Countries

    Bahadir Yuzbasi and S. Ejaz Ahmed

    Journal of Risk and Financial Management, 2020

    Publisher: MDPI AG

2019

1. Efficient and Improved Estimation Strategy in Zero-Inflated Poisson Regression Models

   Yasin Asar, S. Ejaz Ahmed, and Bahadır Yüzbaşı

   In Proceedings of the Twelfth International Conference on Management Science and Engineering Management, 2019

   Series Title: Lecture Notes on Multidisciplinary Industrial Engineering

   DOI
2. Double shrunken selection operator

   B. Yüzbaşı and M. Arashi

   Communications in Statistics - Simulation and Computation, Mar 2019

   DOI
3. High-Dimensional Regression Under Correlated Design: An Extensive Simulation Study

   S. Ejaz Ahmed, Hwanwoo Kim, Gökhan Yıldırım, and 1 more author

   In Matrices, Statistics and Big Data, 2019

   Series Title: Contributions to Statistics

   DOI
4. Should governments tax the rich and subsidize the poor? A comparative study of Muslim and Christian respondents

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   Religions, 2019

   Publisher: MDPI
5. Efficient and Improved Estimation Strategy in Zero-Inflated Poisson Regression Models

   Yasin Asar, S. Ejaz Ahmed, and Bahadır Yüzbaşı

   In Proceedings of the Twelfth International Conference on Management Science and Engineering Management, 2019

   Series Title: Lecture Notes on Multidisciplinary Industrial Engineering

   DOI
6. Double shrunken selection operator

   B. Yüzbaşı and M. Arashi

   Communications in Statistics - Simulation and Computation, Mar 2019

   DOI
7. High-Dimensional Regression Under Correlated Design: An Extensive Simulation Study

   S. Ejaz Ahmed, Hwanwoo Kim, Gökhan Yıldırım, and 1 more author

   In Matrices, Statistics and Big Data, 2019

   Series Title: Contributions to Statistics

   DOI
8. Should governments tax the rich and subsidize the poor? A comparative study of Muslim and Christian respondents

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   Religions, 2019

   Publisher: MDPI

2018

1. Rank-based Liu regression

   Mohammad Arashi, Mina Norouzirad, S. Ejaz Ahmed, and 1 more author

   Computational Statistics, Sep 2018

   DOI
2. Ridge type estimation in the zero-inflated negative binomial regression

   Bahadır Yüzbaşi and A. Asar

   Econometrics: Methods & Applications, 2018
3. Improving Estimations in Quantile Regression Model with Autoregressive Errors

   Bahadır Yüzbaşı, Yasin Aşar, Şamil Şık, and 1 more author

   Thermal Science, 2018

   arXiv:1707.01052 [stat]

   Abs DOI

   An important issue is that the respiratory mortality may be a result of air pollution which can be measured by the following variables: temperature, relative humidity, carbon monoxide, sulfur dioxide, nitrogen dioxide, hydrocarbons, ozone and particulates. The usual way is to fit a model using the ordinary least squares regression, which has some assumptions, also known as Gauss-Markov assumptions, on the error term showing white noise process of the regression model. However, in many applications, especially for this example, these assumptions are not satisfied. Therefore, in this study, a quantile regression approach is used to model the respiratory mortality using the mentioned explanatory variables. Moreover, improved estimation techniques such as preliminary testing and shrinkage strategies are also obtained when the errors are autoregressive. A Monte Carlo simulation experiment, including the quantile penalty estimators such as Lasso, Ridge and Elastic Net, is designed to evaluate the performances of the proposed techniques. Finally, the theoretical risks of the listed estimators are given.

4. L1 correlation-based penalty in high-dimensional quantile regression

   Bahadir Yüzbaşi, S. Ejaz Ahmed, and Yasin Asar

   In 2018 4th International Conference on Big Data and Information Analytics (BigDIA), 2018
5. Improvıng estımatıons ın quantıle regressıon model wıth autoregressıve errors

   Bahadır Yüzbaşı, M. Şamil Sik, and Ahmet Demiralp

   2018

   Publisher: VINCA INST NUCLEAR SCI, MIHAJLA PETROVICA-ALASA 12-14 VINCA, 11037 BELGRADE …
6. Rank-based Liu regression

   Mohammad Arashi, Mina Norouzirad, S. Ejaz Ahmed, and 1 more author

   Computational Statistics, Sep 2018

   DOI
7. Improving Estimations in Quantile Regression Model with Autoregressive Errors

   Bahadır Yüzbaşı, Yasin Aşar, Şamil Şık, and 1 more author

   Thermal Science, 2018

   arXiv:1707.01052 [stat]

   Abs DOI

   An important issue is that the respiratory mortality may be a result of air pollution which can be measured by the following variables: temperature, relative humidity, carbon monoxide, sulfur dioxide, nitrogen dioxide, hydrocarbons, ozone and particulates. The usual way is to fit a model using the ordinary least squares regression, which has some assumptions, also known as Gauss-Markov assumptions, on the error term showing white noise process of the regression model. However, in many applications, especially for this example, these assumptions are not satisfied. Therefore, in this study, a quantile regression approach is used to model the respiratory mortality using the mentioned explanatory variables. Moreover, improved estimation techniques such as preliminary testing and shrinkage strategies are also obtained when the errors are autoregressive. A Monte Carlo simulation experiment, including the quantile penalty estimators such as Lasso, Ridge and Elastic Net, is designed to evaluate the performances of the proposed techniques. Finally, the theoretical risks of the listed estimators are given.

8. Ridge type estimation in the zero-inflated negative binomial regression

   Bahadır Yüzbaşi and A. Asar

   Econometrics: Methods & Applications, 2018
9. L1 correlation-based penalty in high-dimensional quantile regression

   Bahadir Yüzbaşi, S. Ejaz Ahmed, and Yasin Asar

   In 2018 4th International Conference on Big Data and Information Analytics (BigDIA), 2018
10. Improvıng estımatıons ın quantıle regressıon model wıth autoregressıve errors

    Bahadır Yüzbaşı, M. Şamil Sik, and Ahmet Demiralp

    2018

    Publisher: VINCA INST NUCLEAR SCI, MIHAJLA PETROVICA-ALASA 12-14 VINCA, 11037 BELGRADE …

2017

1. Improved penalty strategies in linear regression models

   Bahadır Yüzbaşı, S. Ejaz Ahmed, and Mehmet Güngör

   REVSTAT-Statistical Journal, 2017
2. Confidence in government and attitudes toward bribery: A country-cluster analysis of demographic and religiosity perspectives

   Serkan Benk, Bahadır Yüzbaşı, and Robert W. McGee

   Religions, 2017

   Publisher: MDPI
3. High Dimensional Data Analysis: Integrating Submodels

   Syed Ejaz Ahmed and Bahadır Yüzbaşı

   In Big and Complex Data Analysis, 2017

   Series Title: Contributions to Statistics

   DOI
4. Big Data Analysis Using Shrinkage Strategies

   B. Yuzbasi, M. Arashi, and S. E. Ahmed

   Apr 2017

   arXiv:1704.05074 [stat]

   Abs

   In this paper, we apply shrinkage strategies to estimate regression coefficients efficiently for the high-dimensional multiple regression model, where the number of samples is smaller than the number of predictors. We assume in the sparse linear model some of the predictors have very weak influence on the response of interest. We propose to shrink estimators more than usual. Specifically, we use integrated estimation strategies in sub and full models and shrink the integrated estimators by incorporating a bounded measurable function of some weights. The exhibited double shrunken estimators improve the prediction performance of sub models significantly selected from existing Lasso-type variable selection methods. Monte Carlo simulation studies as well as real examples of eye data and Riboavin data confirm the superior performance of the estimators in the high-dimensional regression model.

5. Liu-type shrinkage estimations in linear models

   Bahadir Yuzbasi, Yasin Asar, and S. Ejaz Ahmed

   arXiv preprint arXiv:1709.01131, 2017
6. Improved penalty strategıes in lınear regressıon models

   Bahadir Yuzbasi, S. Ejaz Ahmed, and Mehmet Gungor

   2017

   Publisher: Inst nacıonal estatıstıca-ıne, av antonıo jose almeıda, 2, lısbon, 1000-043 …
7. Improved penalty strategies in linear regression models

   Bahadır Yüzbaşı, S. Ejaz Ahmed, and Mehmet Güngör

   REVSTAT-Statistical Journal, 2017
8. Confidence in government and attitudes toward bribery: A country-cluster analysis of demographic and religiosity perspectives

   Serkan Benk, Bahadır Yüzbaşı, and Robert W. McGee

   Religions, 2017

   Publisher: MDPI
9. High Dimensional Data Analysis: Integrating Submodels

   Syed Ejaz Ahmed and Bahadır Yüzbaşı

   In Big and Complex Data Analysis, 2017

   Series Title: Contributions to Statistics

   DOI
10. Big Data Analysis Using Shrinkage Strategies

    B. Yuzbasi, M. Arashi, and S. E. Ahmed

    Apr 2017

    arXiv:1704.05074 [stat]

    Abs

    In this paper, we apply shrinkage strategies to estimate regression coefficients efficiently for the high-dimensional multiple regression model, where the number of samples is smaller than the number of predictors. We assume in the sparse linear model some of the predictors have very weak influence on the response of interest. We propose to shrink estimators more than usual. Specifically, we use integrated estimation strategies in sub and full models and shrink the integrated estimators by incorporating a bounded measurable function of some weights. The exhibited double shrunken estimators improve the prediction performance of sub models significantly selected from existing Lasso-type variable selection methods. Monte Carlo simulation studies as well as real examples of eye data and Riboavin data confirm the superior performance of the estimators in the high-dimensional regression model.

11. Liu-type shrinkage estimations in linear models

    Bahadir Yuzbasi, Yasin Asar, and S. Ejaz Ahmed

    arXiv preprint arXiv:1709.01131, 2017
12. Improved penalty strategıes in lınear regressıon models

    Bahadir Yuzbasi, S. Ejaz Ahmed, and Mehmet Gungor

    2017

    Publisher: Inst nacıonal estatıstıca-ıne, av antonıo jose almeıda, 2, lısbon, 1000-043 …

2016

1. The impact of religiosity on tax compliance among Turkish self-employed taxpayers

   Serkan Benk, Tamer Budak, Bahadır Yüzbaşı, and 1 more author

   Religions, 2016

   Publisher: MDPI
2. Shrinkage and penalized estimation in semi-parametric models with multicollinear data

   Bahadır Yüzbaşı and S. Ejaz Ahmed

   Journal of Statistical Computation and Simulation, Nov 2016

   DOI
3. Modified ridge type estimator in partially linear regression models and numerical comparisons

   Dursun Aydın, Bahadır Yüzbaşı, and S. Ejaz Ahmed

   Journal of Computational and Theoretical Nanoscience, 2016

   Publisher: American Scientific Publishers
4. On distributions of discrete order statistics

   YUNUS Bulut, MEHMET Güngör, B. Yüzbası, and 2 more authors

   Journal of Computational Analysis and Applications, 2016
5. On order statistics from nonidentical discrete random variables

   Bahadır Yüzbaşı, Yunus Bulut, and Mehmet Güngör

   Open Physics, Jan 2016

   Abs DOI

   Abstract In this study, pf and df of single order statistic of nonidentical discrete random variables are obtained. These functions are also expressed in integral form. Finally, pf and df of extreme of order statistics of random variables for the nonidentical discrete case are given.

6. The impact of religiosity on tax compliance among Turkish self-employed taxpayers

   Serkan Benk, Tamer Budak, Bahadır Yüzbaşı, and 1 more author

   Religions, 2016

   Publisher: MDPI
7. Shrinkage and penalized estimation in semi-parametric models with multicollinear data

   Bahadır Yüzbaşı and S. Ejaz Ahmed

   Journal of Statistical Computation and Simulation, Nov 2016

   DOI
8. Modified ridge type estimator in partially linear regression models and numerical comparisons

   Dursun Aydın, Bahadır Yüzbaşı, and S. Ejaz Ahmed

   Journal of Computational and Theoretical Nanoscience, 2016

   Publisher: American Scientific Publishers
9. On distributions of discrete order statistics

   YUNUS Bulut, MEHMET Güngör, B. Yüzbası, and 2 more authors

   Journal of Computational Analysis and Applications, 2016
10. On order statistics from nonidentical discrete random variables

    Bahadır Yüzbaşı, Yunus Bulut, and Mehmet Güngör

    Open Physics, Jan 2016

    Abs DOI

    Abstract In this study, pf and df of single order statistic of nonidentical discrete random variables are obtained. These functions are also expressed in integral form. Finally, pf and df of extreme of order statistics of random variables for the nonidentical discrete case are given.

2015

1. How religions affect attitudes toward ethics of tax evasion? A comparative and demographic analysis

   Serkan Benk, Robert W. McGee, and Bahadir Yuzbasi

   Journal for the Study of Religions and Ideologies, 2015
2. Religion and ethical attitudes toward accepting a bribe: A comparative study

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   Religions, 2015

   Publisher: MDPI
3. Shrinkage Ridge Regression Estimators in High-Dimensional Linear Models

   Bahadır Yüzbaşı and S. Ejaz Ahmed

   In Proceedings of the Ninth International Conference on Management Science and Engineering Management, 2015

   Series Title: Advances in Intelligent Systems and Computing

   DOI
4. Religion and Ethical Attitudes toward Accepting a Bribe: A Comparative Study. Religions, 6, 1168-1181

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   2015
5. How religions affect attitudes toward ethics of tax evasion? A comparative and demographic analysis

   Serkan Benk, Robert W. McGee, and Bahadir Yuzbasi

   Journal for the Study of Religions and Ideologies, 2015
6. Religion and ethical attitudes toward accepting a bribe: A comparative study

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   Religions, 2015

   Publisher: MDPI
7. Shrinkage Ridge Regression Estimators in High-Dimensional Linear Models

   Bahadır Yüzbaşı and S. Ejaz Ahmed

   In Proceedings of the Ninth International Conference on Management Science and Engineering Management, 2015

   Series Title: Advances in Intelligent Systems and Computing

   DOI
8. Religion and Ethical Attitudes toward Accepting a Bribe: A Comparative Study. Religions, 6, 1168-1181

   Robert W. McGee, Serkan Benk, and Bahadır Yüzbaşı

   2015

2014

1. Penalty and non-penalty estimation strategies for linear and partially linear models

   Bahadır Yüzbaşı

   2014

   Publisher: İnönü Üniversitesi Fen Bilimleri Enstitüsü
2. Penalty and non-penalty estimation strategies for linear and partially linear models

   Bahadır Yüzbaşı

   2014

   Publisher: İnönü Üniversitesi Fen Bilimleri Enstitüsü

2013

1. Government expenditures and trade deficits in Turkey: Time domain and frequency domain analyses

   Selim Kayhan, Tayfur Bayat, and Bahadir Yüzbaşı

   Economic Modelling, 2013

   Publisher: Elsevier
2. On joint distributions of order statistics from nonidentically distributed discrete vectors

   B. Yüzbası and M. Güngör

   Journal of Computational Analysis and Applications, 2013
3. Government expenditures and trade deficits in Turkey: Time domain and frequency domain analyses

   Selim Kayhan, Tayfur Bayat, and Bahadir Yüzbaşı

   Economic Modelling, 2013

   Publisher: Elsevier
4. On joint distributions of order statistics from nonidentically distributed discrete vectors

   B. Yüzbası and M. Güngör

   Journal of Computational Analysis and Applications, 2013

2012

1. On joint distributions of order statistics for a discrete case

   M Güngör, Y Bulut, and B Yüzbaşı

   Journal of Inequalities and Applications, Dec 2012

   DOI
2. On joint distributions of order statistics for a discrete case

   M Güngör, Y Bulut, and B Yüzbaşı

   Journal of Inequalities and Applications, Dec 2012

   DOI

2010

1. Genelleştirilmiş istatistiksel yakınsaklık/Generalized statistical convergence

   BAHADIR YÜZBAŞI

   2010
2. Genelleştirilmiş istatistiksel yakınsaklık/Generalized statistical convergence

   BAHADIR YÜZBAŞI

   2010