STATISTICAL EVALUATION OF FIVE PARAMETERS SORPTION ISOTHERM MODEL
Citation APA 7:
Mitrevski, V., & Mitrevska, C. (2021). Statistical evaluation of five parameters sorption isotherm model. In Proceedings of the XI International Conference Industrial Engineering and Environmental Protection 2021 (IIZS 2021) (pp. 156–161).
Citation Harvard:
Mitrevski, V. and Mitrevska, C. (2021) ‘Statistical evaluation of five parameters sorption isotherm model’, in Proceedings of the XI International Conference Industrial Engineering and Environmental Protection 2021 (IIZS 2021), Zrenjanin, Serbia, 8–9 October, pp. 156–161
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| Article Тitle | STATISTICAL EVALUATION OF FIVE PARAMETERS SORPTION ISOTHERM MODEL |
| Journal | Statistical Evaluation of Five Parameters Sorption Isotherm Model |
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| Date Deposited | 13.1.2022 12:00 |
Citation APA 7:
Mitrevski, V., & Mitrevska, C. (2021). Statistical evaluation of five parameters sorption isotherm model. In Proceedings of the XI International Conference Industrial Engineering and Environmental Protection 2021 (IIZS 2021) (pp. 156–161).
Citation Harvard:
Mitrevski, V. and Mitrevska, C. (2021) ‘Statistical evaluation of five parameters sorption isotherm model’, in Proceedings of the XI International Conference Industrial Engineering and Environmental Protection 2021 (IIZS 2021), Zrenjanin, Serbia, 8–9 October, pp. 156–161
Abstract
The study statistically evaluates fifteen five-parameter mathematical models for describing the equilibrium moisture content of food materials. Models taken from scientific literature, together with several newly generated models, were tested using experimental moisture-content data for quince. The evaluation was based primarily on the coefficient of determination and graphical analysis of residual randomness. The results indicate that the Popovski–Mitrevski model, identified as model M03, demonstrated the best statistical performance.
Keywords:
Five parameters models; statistical evaluation; moisture content data.