title:ADVANCED STATISTICAL METHODS AS A NEW TOOL FOR DATA ANALYSIS IN FOOD AND NUTRITION SCIENCE
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.
for citation: 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