Logistic Regression to Evaluate the Marketability of Pepper Cultivars

The goal of this paper is to show that logistic regression is an analytical method of interest to evaluate the marketability of different pepper (Capsicum annuum L.) cultivars. Two studies were conducted on “Italian sweet” pepper cultivars. Fruit samples were introduced in storage chambers and kept...

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Main Authors: Díaz Pérez, Manuel, Carreño Ortega, Angel, Salinas Andújar, José Antonio, Callejón Ferre, Ángel Jesús
Format: info:eu-repo/semantics/article
Language:English
Published: MDPI 2020
Subjects:
Online Access:http://hdl.handle.net/10835/7606
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author Díaz Pérez, Manuel
Carreño Ortega, Angel
Salinas Andújar, José Antonio
Callejón Ferre, Ángel Jesús
author_facet Díaz Pérez, Manuel
Carreño Ortega, Angel
Salinas Andújar, José Antonio
Callejón Ferre, Ángel Jesús
author_sort Díaz Pérez, Manuel
collection DSpace
description The goal of this paper is to show that logistic regression is an analytical method of interest to evaluate the marketability of different pepper (Capsicum annuum L.) cultivars. Two studies were conducted on “Italian sweet” pepper cultivars. Fruit samples were introduced in storage chambers and kept at 9 °C and 85–95% relative humidity during the study period. The fruits were evaluated individually and periodically by measuring the deterioration of fruit quality (rot, ageing, etc.). In this study, categorical explanatory variables (rot, etc.) and continuous explanatory variables (days of storage) were integrated and combined to determine the probability of marketability of the fruit. The results show that the binary logistic model is a useful statistical tool to analyse together both categorical and continuous variables in the study of the marketability of pepper cultivars.
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spelling oai:repositorio.ual.es:10835-76062023-11-15T14:51:54Z Logistic Regression to Evaluate the Marketability of Pepper Cultivars Díaz Pérez, Manuel Carreño Ortega, Angel Salinas Andújar, José Antonio Callejón Ferre, Ángel Jesús cultivar pepper quality logistic regression days of storage probability of marketability The goal of this paper is to show that logistic regression is an analytical method of interest to evaluate the marketability of different pepper (Capsicum annuum L.) cultivars. Two studies were conducted on “Italian sweet” pepper cultivars. Fruit samples were introduced in storage chambers and kept at 9 °C and 85–95% relative humidity during the study period. The fruits were evaluated individually and periodically by measuring the deterioration of fruit quality (rot, ageing, etc.). In this study, categorical explanatory variables (rot, etc.) and continuous explanatory variables (days of storage) were integrated and combined to determine the probability of marketability of the fruit. The results show that the binary logistic model is a useful statistical tool to analyse together both categorical and continuous variables in the study of the marketability of pepper cultivars. 2020-01-20T08:55:49Z 2020-01-20T08:55:49Z 2019-03-07 info:eu-repo/semantics/article 2073-4395 http://hdl.handle.net/10835/7606 en https://www.mdpi.com/2073-4395/9/3/125 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI
spellingShingle cultivar
pepper
quality
logistic regression
days of storage
probability of marketability
Díaz Pérez, Manuel
Carreño Ortega, Angel
Salinas Andújar, José Antonio
Callejón Ferre, Ángel Jesús
Logistic Regression to Evaluate the Marketability of Pepper Cultivars
title Logistic Regression to Evaluate the Marketability of Pepper Cultivars
title_full Logistic Regression to Evaluate the Marketability of Pepper Cultivars
title_fullStr Logistic Regression to Evaluate the Marketability of Pepper Cultivars
title_full_unstemmed Logistic Regression to Evaluate the Marketability of Pepper Cultivars
title_short Logistic Regression to Evaluate the Marketability of Pepper Cultivars
title_sort logistic regression to evaluate the marketability of pepper cultivars
topic cultivar
pepper
quality
logistic regression
days of storage
probability of marketability
url http://hdl.handle.net/10835/7606
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AT salinasandujarjoseantonio logisticregressiontoevaluatethemarketabilityofpeppercultivars
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