by E. T. Castano, E. S. Mercado, F. G. Leon, C. H. Gorrostieta, J. J. Chamorro, E. B. Vazquez and V. T. Aguirre

Journal of Data Science, v.4, no.2, 233-246

Abstract

In this paper we analyze the weight loss behaviour of Mexican garlic under different storage conditions. Garlic is an important Mexican export product. Quality losses during storage are important to understand due to cost and sale opportunity implications. Weight losses profiles for each experimental conditions, represented as functions, are modeled by means of functional linear models and hypotheses tests are performed to compare treatments. Monte Carlo sampling version of permutation tests are used to obtain $p$-values. Using the functional approach clearly defined storage regimes that significantly decrease the speed of deterioration of the product relative to traditional Mexican agricultural practices.

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