Template-Type: ReDIF-Article 1.0 Author-Name: Şebnem KOLTAN YILMAZ Author-Email: sebnem.yilmaz@inonu.edu.tr Author-Workplace-Name: İnönü Üniversitesi İİBF İşletme Bölümü Author-Name: M. Mustafa YÜCEL Author-Email: mustafa.yucel@inonu.edu.tr Author-Workplace-Name: İnönü Üniversitesi İİBF İşletme Bölümü Title: Concrete strength control charts pattern recognition based on Linear Vector Quantization neural networks Abstract: The objective in this study is to detect the errors that occur or may occur in the future during the process in which the company?s quality objectives are fulfilled and to show the applicability of the Artificial Neural Networks (ANN) which is one of the Artificial Intelligence (AI) techniques. Thus, it will be able to contribute to the main purposes which make quality control necessary such as to raise the level of quality, reduce operating costs, time savings, raising employees? motivation and reducing customer complaints. For this purpose, average compressive strength, one of the most important quality indicators, of a company that produces ready-mixed concrete has been used. Linear Vector Quantization (LVQ) type ANN model has been established by using the quality characteristics observation values related to control charts and the parameters related to control charts, and when these two models are compared, it has been found out that the model whose quality characteristics have been constructed using the observation values result in more successful results than that constructed with the model's control charts. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 1-15 Volume: 2 Issue: 2 Year: 2015 Month: Feb DOI: 10.17740/eas.stat.2015-V2-01 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/903 File-Format: Application/pdf Handle: RePEc:eas:econst:v:2:y:2015:i:2:p:1-15 Template-Type: ReDIF-Article 1.0 Author-Name: Volkan SEVİNÇ Author-Email: vsevinc@mu.edu.tr Author-Workplace-Name: Muğla Sıtkı Koçman Üniversitesi Title: A CLASSIFICATION OF THE BANKS IN TURKEY WITH BAYESIAN CLUSTER ANALYSIS BASED ON MIXTURE MODELS Abstract: Banking sector is an important part of the economy of a country. There are differences and similarities among these banks in terms of some economic and financial indicators. It would be useful to make a classification research about these banks regarding their differences and similarities to provide a reference to the banking sector and investors. In this research, it is aimed to classify the banks in Turkey with respect to several financial and economic indicators. There are two main kind of clustering methods in the literature: Deterministic versus Model-based cluster analysis. Most clustering studies are based on traditional deterministic methods. However, model-based cluster analysis provides a probabilistic approach to clustering. Mixture models are widely used in model based cluster analysis. Bayesian estimation of mixture models in the literature is relatively new. Therefore, in this research, Bayesian cluster analysis based on mixture models is employed and a classification of the banks is made using the selected method. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 16-24 Volume: 2 Issue: 2 Year: 2015 Month: Feb DOI: 10.17740/eas.stat.2015â€�V2â€�02 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/904 File-Format: Application/pdf Handle: RePEc:eas:econst:v:2:y:2015:i:2:p:16-24 Template-Type: ReDIF-Article 1.0 Author-Name: Nurbanu BURSA Author-Email: nurbanubursa@hacettepe.edu.tr Author-Workplace-Name: Hacettepe Üniversitesi Author-Name: Hüseyin TATLIDİL Author-Email: tatlidil@hacettepe.edu.tr Author-Workplace-Name: Hacettepe Üniversitesi Title: Investigation of Credit Default Swaps using Detrended Fluctuation Analysis which is an Econophysical Technique Abstract: This paper investigates the econophysics concept and Detrended Fluctuation Analysis (DFA) which known as an econophysics technique and is used to determine the presence or absence of long-term dependency in time series. Besides, as an application for this econophysics method, statistical behaviour of Turkey? s five-year credit default swap data (CDS) from 2001 to 2014 is analyzed. Thus, at first time, dependency structure of CDS series is investigated by means of this paper. According to obtained results, it can be say, daily Turkey? s CDS series has persistent long-term dependency. This means that whenever the time series have been up in the last period, it is more likely that it will continue to be up or vice versa. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 25-33 Volume: 2 Issue: 2 Year: 2015 Month: Feb DOI: 10.17740/eas.stat.2015â€�V2â€�03 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/905 File-Format: Application/pdf Handle: RePEc:eas:econst:v:2:y:2015:i:2:p:25-33 Template-Type: ReDIF-Article 1.0 Author-Name: Esra Yüksel ACI Author-Email: esrayuksel@hotmail.com Author-Workplace-Name: Marmara Üniversitesi Title: DEVELOPMENT AND ECONOM?C ASPECT OF EDUCAT?ON THE ANALYSIS OF CORRELATION BETWEEN UNEMPLOYMENT AND EDUCATIONAL EXPENDITURE IN TURKEY ACCORDING TO QUANTILE REGRESSION MODEL Abstract: Almost half a century ago, ?development? began to become a concept far beyond an economic growth ? a concept of improving living conditions for people. The new sense of development is reflection of a viewpoint which spreads out from fighting unemployment and poverty to meeting basic needs like health and education, and pays regard to sustainability and human development dimension of development itself. This study deals with education and its economic aspect within the frame of transformation in development concept, and manifests the present state of education in regard to development in Turkey comparing its data with the developed countries?. The study analyses also, with the help of Quantile Regression Analysis Model, the correlation of variables: educational expenditure which is thought to affect the unemployment rate / GDP, educational expenditure / public expenditure and educational budget / total budget. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 34-54 Volume: 2 Issue: 2 Year: 2015 Month: Feb DOI: 10.17740/eas.stat.2015â€�V2â€�04 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/906 File-Format: Application/pdf Handle: RePEc:eas:econst:v:2:y:2015:i:2:p:34-54 Template-Type: ReDIF-Article 1.0 Author-Name: Funda H. SEZGİN Author-Email: hfundasezgin@yahoo.com Author-Workplace-Name: İstanbul Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü Author-Name: Nesli Nazik ÖZKAN Author-Email: nesliozkan26@gmail.com Author-Workplace-Name: İstanbul Üniversitesi, İktisat Fakültesi, Sosyal Bilimler Enstitüsü Title: EFFECT OF FOREIGN DIRECT INVESTMENT ON BALANCE OF PAYMENT FOR TURKEY: ECONOMETRIC ANALYSIS Abstract: Foreign direct investment (FDI) that which Turkey has not been able to benefit from so far has an effective role in the conversion of the economy to have a competitive structure at the global level. Especially in the period after 2001, in spite of the efforts to improve the investment environment and to create new production capacity, the development was not at the expected level. To improve new FDI policies is significant for developing countries (like Turkey) which on the one hand continue to develop on the other hand have to cope with high current account deficit issues. In this study, it has tried to reveal short and long term relationships between 1998.Q1- 2013.Q4 current account deficit figures and FDI, GDP for Turkey, GDP for EU, Real Interest Rate (RFO), Real Effective Exchange Rate (REDK) variables. As a result, while REDK, GDP_AB, RFO have positive effect on current account deficient, GDP_TR and DYY have negative effect on it. Journal: Eurasian Econometrics Statistics & Emprical Economics Journal Pages: 55-75 Volume: 2 Issue: 2 Year: 2015 Month: Feb DOI: 10.17740/eas.stat.2015â€�V2â€�05 File-URL: https://eurasianacademy.org/index.php/econstat/article/view/907 File-Format: Application/pdf Handle: RePEc:eas:econst:v:2:y:2015:i:2:p:55-75