@article{article_685733, title={Change-constrained stochastic programming problem with normal, t and skew normal, skew t distributions}, journal={Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics}, volume={70}, pages={180–193}, year={2021}, DOI={10.31801/cfsuasmas.685733}, author={Eroğlu İnan, Gültaç}, keywords={Change Constrained Stochastic Programming, Skewness, Skew Normal Distribution, Skew t Distribution}, abstract={In this paper, a change constrained optimization programming problem is studied under the assumption that the model coe¢ cients in the inequalities defned as random variables are independent and assumed to be Normal, t; Non Normal Skew distributions; Skew Normal and Skew t distributions. The Hulkursar method transform the stochastic programming problem into a non-linear deterministic problem is used in the study. The most common distribution in CCSP is the Normal Distribution; but the real world problems always may not include normality. <br />Therefore; in the practice stage, an application that the a <sub>ij </sub> technologic coefficient and the b <sub>i </sub> right side values in the inequalities have both Normal, t; Skew Normal and Skew t distributions is given. Finally the obtained results have been compared.}, number={1}, publisher={Ankara University}