Title
ADVANCED STATISTICAL METHODS AS A NEW TOOL FOR DATA ANALYSIS IN FOOD AND NUTRITION SCIENCE
Autor
Małgorzata Darewicz, Jerzy Dziuba
Keywords
CAB and FSTA databases, food science, functional properties, multiple regression, neural networks, partial least squares regression, principal component analysis
Abstract
The paper presents a review of literature databases, paying special attention to the use of advanced statistical method as a tool for data analysis in food and nutrition science. Two bibliographic databases, i.e. CAB and FSTA, were searched thoroughly in the study. A dynamic increase in the number of publications based on artificial intelligence studies was observed. A large body of investigations is devoted to the problems of food quality assurance and food authenticity control.
Pages
17-25
Cite
Darewicz, M., Dziuba, J. (2005). ADVANCED STATISTICAL METHODS AS A NEW TOOL FOR DATA ANALYSIS IN FOOD AND NUTRITION SCIENCE. Acta Sci. Pol. Technol. Aliment., 4(1), 17-25.
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