Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Baris Asikgil"'
Autor:
Sinem Aydogdu, Baris Asikgil
Publikováno v:
International Review of Management and Marketing, Vol 1, Iss 4, Pp 65-73 (2011)
In this study, conducted on 96 employees from production sector in a pharmaceutical company, the effect of transformational leadership behavior on organizational culture is investigated to determine statistically significant relations. The results of
Externí odkaz:
https://doaj.org/article/9dbe93640f5447afa9935d79e4f50e97
Autor:
Sinem Aydogdu, Baris Asikgil
Publikováno v:
International Review of Management and Marketing, Vol 1, Iss 3, Pp 43-53 (2011)
This study conducted on 100 employees from production sector and 82 employees from service provider sector. The relationship among job satisfaction, organizational commitment and turnover intention are investigated to determine statistically signific
Externí odkaz:
https://doaj.org/article/d770787602d24210a617617f63b48e05
Autor:
Serenay Kucuk, Baris Asikgil
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-17
Publikováno v:
Journal of Chemometrics. 36
Scalar-on-function regression, where the response is scalar valued and the predictor consists of random functions, is one of the most important tools for exploring the functional relationship between a scalar response and functional predictor(s). The
Publikováno v:
International Journal of ADVANCED AND APPLIED SCIENCES. 3:26-31
WOS: 000391109400004
In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, med
In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, med
Autor:
Ozan Kocadağlı, Baris Asikgil
Publikováno v:
Expert Systems with Applications. 41:6596-6610
The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model complexity. In this paper, an evolutionary Monte Carlo (MC) algorithm is proposed to train
Autor:
Baris Asikgil
Publikováno v:
Communications in Statistics - Simulation and Computation. 43:2061-2080
A seemingly unrelated regression (SUR) model is defined by a system of linear regression equations in which the disturbances are contemporaneously correlated across equations. However, the disturbances can also be serially correlated in each equation
Autor:
Baris Asikgil, Aydın Erar
Publikováno v:
Applied Mathematics and Computation. 219:9743-9754
Nonlinear models play an important role in various scientific disciplines and engineering. The parameter estimation of these models should be efficient to make better decisions. Ordinary least squares (OLS) method is used for estimating the parameter
Publikováno v:
Pakistan Journal of Statistics and Operation Research, Vol 8, Iss 3, Pp 685-699 (2012)
Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012; 685-699
Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012; 685-699
Newspapers are like goods with a shelf life of one day and they have to be distributed daily basis to the sales points. A problem that most newspaper companies encounter daily is how to predict the right number of newspapers to print and distribute a