
STATISTICAL EVALUATION OF FOUR-PARAMETERS MOISTURE SORPTION ISOTHERM MODELS
Citation APA 7:
Mitrevski, V., Mitrevska, C., Babić, M., & Mitrevski, B. (2020). Statistical evaluation of four-parameter moisture sorption isotherm models. Journal on Processing and Energy in Agriculture, 24(1), 1–5.
Citation Harvard:
Mitrevski, V., Mitrevska, C., Babić, M. and Mitrevski, B. (2020) ‘Statistical evaluation of four-parameter moisture sorption isotherm models’, Journal on Processing and Energy in Agriculture, 24(1), pp. 1–5.
Details
| Author(s) | Cvetanka Mitrevska, B. Mitrevski, M. Babic, Vangelce Mitrevski |
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| Article Тitle | STATISTICAL EVALUATION OF FOUR-PARAMETERS MOISTURE SORPTION ISOTHERM MODELS |
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| Date Deposited | 22.4.2020 10:38 |
Citation APA 7:
Mitrevski, V., Mitrevska, C., Babić, M., & Mitrevski, B. (2020). Statistical evaluation of four-parameter moisture sorption isotherm models. Journal on Processing and Energy in Agriculture, 24(1), 1–5.
Citation Harvard:
Mitrevski, V., Mitrevska, C., Babić, M. and Mitrevski, B. (2020) ‘Statistical evaluation of four-parameter moisture sorption isotherm models’, Journal on Processing and Energy in Agriculture, 24(1), pp. 1–5.
Abstract
The study evaluates 32 four-parameter moisture-sorption isotherm models and compares their ability to represent the equilibrium moisture content of quince. The models were assessed primarily through the coefficient of determination and graphical analysis of residual randomness. The Popovski–Mitrevski models M25 and M30 and the McLaren–Rowen model demonstrated the best statistical performance.
Keywords:
Sorption isotherms; four-parameter models; statistical evaluation.
