2019

  1. Üstüner Top F., Kaya B., Tepe B·, Avcı E. Physio-psychosocial and Metabolic Parameters of Obese Adolescents: Health-Promoting Lifestyle Education of Obesity Management. Community Mental Health Journal. 55, 1419–1429.2019. DOI:10.1007/s10597-019-00415-7. (SSCI).

  2. Çelik B., Avcı E. Conway-Maxwell-Poisson (COM-Poisson) Regresyon Modeli: Aşırı ve Az Yayılımlı Verilere Uygulaması. Turkiye Klinikleri J Biostat. 11(3):213-23. 2019. DOI: 10.5336/biostatic.2019-70440. (CIS), TR-dizin.

  3. Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ufuk Yolcu, 2019, Intuitionistic time series fuzzy inference system, Engineering Applications of Artificial Intelligence 82, 175-183. (SCI)

  4. Erol Eğrioğlu, Ufuk Yolcu, Eren Bas, Ali Zafer Dalar, 2019, Median-Pi Artificial Neural Network for Forecasting, 31(1), 307-316, Neural computing & Applications. (SCI)

  5. Egrioglu E., Yolcu U., Bas E., 2019, Intuitionistic high order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony, Granular Computing, 4,4,639-654.

  6. Bas E., Egrioglu E., Yolcu U., Grosan C., 2019, Type 1 fuzzy function approach based on ridge regression for forecasting, Granular Computing, 4, 4, 629-637.

  7. Doğru, F.Z. and Arslan, O. 2019. Joint modelling of the location, scale and skewness parameters of the skew Laplace normal distribution, Iranian Journal of Science and Technology, Transactions A: Science, 43(3), 1249-1257.

  8. Doğru, F. Z., Yu, K., and Arslan, O. 2019. Heteroscedastic and heavy-tailed regression with mixtures of skew Laplace normal distributions. Journal of Statistical Computation and Simulation, 89(17), 3213-3240.

  9. Doğru, F. Z. and Arslan, O. 2019. Robust mixture regression modeling based on the Generalized M (GM)-estimation method. Communications in Statistics-Simulation and Computation, in press.

  10. Okur, N., 2019, (SCI-EXP.), Multidimensional general convexity for stochastic processes and associated with Hermite-Hadamard type integral inequalities, Thermal Science, 23 (6), 1971-1979.

  11. Okur, N., Karahan, V., 2019, (E-SCI), (ULAKBİM), Some Integral Inequalities of the Hermite-Hadamard Type for s-Convex Stochastic Processes on n-coordinates, Commun. Fac. Sci. Univ. Ank. Ser. A1, 68(2), 1959-1973.

  12. Okur, N., İşcan, İ., Yüksek Dizdar, E., 2019, (ULAKBİM), Hermite-Hadamard Type Inequalities for p-Convex Stochastic Processes, An International Journal of Optimization and Control: Theories & Applications, 9(2), 148-153.

  13. Okur, N., 2019, Fuzzy Hadamard Type Inequality For Strongly Preinvex Functions, Journal Contemporary Applied Mathematics, 9(1), 52-62.

  14. Okur, N., Yalçın, F.B., 2019, Two-Dimensional Operator Harmonically Convex Functions and Related Generalized Inequalities, Turkish Journal of Science, 4(1), 30-38.

  15. Okur, N., Yalçın, F.B., Karahan, V., 2019, Some Hermite Hadamard Type Integral Inequalities for Multidimensional Preinvex Functions, Turkish Journal of Inqualities, 3(1), 54-63.

  16. Yaman, I., & Dalkılıç, T. E.,2019. Portfolio selection based on a nonlinear neural network: An application on the Istanbul Stock Exchange (ISE30). Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 68(2), 1709-1723.