Computer codes and their application: correlation coefficient and confidence interval estimation between sensory and objective measurements under destructive testing using computer simulation

ABSTRACT Estimation of correlation between sensory and instrumental data for food products is used in research and industrial applications. Often the measurement techniques destroy the sample making it impossible to collect more data on the same item. This results in a correlation based not on indiv...

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Bibliographic Details
Published inJournal of food processing and preservation Vol. 12; no. 4; pp. 327 - 334
Main Authors Rao, V.N.M, Webb, K.S, Powers, J.J
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 1989
Subjects
ALIMENTOS
ANALISIS ORGANOLEPTICO
ANALYSE ORGANOLEPTIQUE
APLICACIONES DEL ORDENADOR
APPLICATION INFORMATIQUE
CALIDAD
COMPUTER APPLICATIONS
FOODS
INSTRUMENT
INSTRUMENTOS
INSTRUMENTS
MEASUREMENT
MEDICION
MESURE
METHODE
METHODE NON OPTIMISANTE
METHODS
METODOS
NONOPTIMIZING METHODS
ORGANOLEPTIC ANALYSIS
PRODUIT ALIMENTAIRE
QUALITE
QUALITY
SIMULACION
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Summary:ABSTRACT Estimation of correlation between sensory and instrumental data for food products is used in research and industrial applications. Often the measurement techniques destroy the sample making it impossible to collect more data on the same item. This results in a correlation based not on individual observations but rather on the average of the data, leading to an erroneous and artificially high correlation. A method using maximum likelihood techniques and conditional simulation is proposed for estimating the correlation in this case.
Bibliography:Q04
8924914
ark:/67375/WNG-DTCF01BZ-M
istex:D28BF2A7E6F4E27967E79261E5184C52242A997D
ArticleID:JFPP327
ISSN:0145-8892
1745-4549
DOI:10.1111/j.1745-4549.1989.tb00089.x