A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or free choice profiling is discussed. The most interesting feature of this method is that it involves only simple statistical treatment and can therefore be performed using standard software packages. The outcomes of this method are compared to those of Generalized Procrustes Analysis on the basis of two data sets obtained respectively by means of fixed vocabulary and free choice profiling. A significance test is also discussed in order to assess whether the overall configuration of the products is meaningful. This significance test is based upon a simulation study involving the permutation procedure. Keywords : Sensory profiling, Principal Com...
Principal Component Analysis (PCA) of product mean scores is generally used to obtain a product map ...
We consider a model for sensory profiling data including translation, rotation and scaling. We compa...
This paper presents a discussion of principal components analysis of descriptive sensory data. Focus...
A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or f...
A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or f...
The analysis of sensory profiling demands skillful statistical methods to account for different vari...
The analysis of sensory profiling demands skillful statistical methods to account for different vari...
In a previous paper Kunert and Qannari (1999) discussed a simple alternative to Generalized Procrust...
In modern management of companies, the quantitative knowledge is determinant for defining marketing ...
In modern management of companies, the quantitative knowledge is determinant for defining marketing ...
This article presents a discussion of principal components analysis of descriptive sensory data. Foc...
In this paper the relation between a sensory and an instrumental dataset is studied by means of Proc...
Two different methods for generalized Procrustes analysis are introduced. One of the methods is used...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
Principal Component Analysis (PCA) of product mean scores is generally used to obtain a product map ...
We consider a model for sensory profiling data including translation, rotation and scaling. We compa...
This paper presents a discussion of principal components analysis of descriptive sensory data. Focus...
A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or f...
A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or f...
The analysis of sensory profiling demands skillful statistical methods to account for different vari...
The analysis of sensory profiling demands skillful statistical methods to account for different vari...
In a previous paper Kunert and Qannari (1999) discussed a simple alternative to Generalized Procrust...
In modern management of companies, the quantitative knowledge is determinant for defining marketing ...
In modern management of companies, the quantitative knowledge is determinant for defining marketing ...
This article presents a discussion of principal components analysis of descriptive sensory data. Foc...
In this paper the relation between a sensory and an instrumental dataset is studied by means of Proc...
Two different methods for generalized Procrustes analysis are introduced. One of the methods is used...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
Principal Component Analysis (PCA) of product mean scores is generally used to obtain a product map ...
We consider a model for sensory profiling data including translation, rotation and scaling. We compa...
This paper presents a discussion of principal components analysis of descriptive sensory data. Focus...