Starting from an overview on statistical problems when analyzing sen- sory data, the author considers in particular the ordinal nature of these variables. The nature of these ordinal data requires a transformation long the whole range of the real numbers. In literature there are di®erent methods to transform the ordinal scores and express them in a quantitative and linear measure 'scale of intervals'. This paper provides a new approach to quantify Sensory data using orthogonal polynomials decomposing on contingency tables as proposed by Emerson (1968).

An Approach for the Quantification of Qualitative Sensory Variables Using Orthogonal Polynomials

SIMONETTI B
2006-01-01

Abstract

Starting from an overview on statistical problems when analyzing sen- sory data, the author considers in particular the ordinal nature of these variables. The nature of these ordinal data requires a transformation long the whole range of the real numbers. In literature there are di®erent methods to transform the ordinal scores and express them in a quantitative and linear measure 'scale of intervals'. This paper provides a new approach to quantify Sensory data using orthogonal polynomials decomposing on contingency tables as proposed by Emerson (1968).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/5367
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