Statistical Functional Modeling of Quality Changes of Garlic under Different Storage Regimes

Autor:	V. T. Aguirre, F. G. Leon, E. S. Mercado, E. B. Vazquez, E. T. Castano, J. J. Chamorro, C. H. Gorrostieta
Rok vydání:	2021
Předmět:	Resampling media_common.quotation_subject Monte Carlo method Statistics Econometrics Linear model Functional approach Quality (business) Product (category theory) Functional modeling Mathematics media_common
Zdroj:	Journal of Data Science. 4:233-246
ISSN:	1683-8602 1680-743X
DOI:	10.6339/jds.2006.04(2).245
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a370998a5a74251cfca03b4f6e92627b https://doi.org/10.6339/jds.2006.04(2).245 Zobrazit plný text záznamu