STATISTICAL EVALUATION OF FOUR-PARAMETERS MOISTURE SORPTION ISOTHERM MODELS

Citation APA 7:
itrevski, 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.

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31.12.2020 11:00

Citation APA 7:
itrevski, 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 statistically evaluates 32 four-parameter moisture-sorption isotherm models and compares their ability to represent the equilibrium moisture content of quince. The models were either developed by the authors or obtained from scientific literature. Their performance was assessed using the coefficient of determination and graphical analysis of residual randomness. The results show that the Popovski–Mitrevski models M25 and M30 and the McLaren–Rowen model M03 produced the best statistical fit.

Keywords:

sorption isotherms; four-parameter models; statistical evaluation.