Full text available in english in Adobe Acrobat format:http://www.food.actapol.net/issue1/volume2/2_1_2005.pdf
Issue 4 (1) 2005 pp. 17-25
Małgorzata Darewicz, Jerzy Dziuba
ADVANCED STATISTICAL METHODS AS A NEW TOOL FOR DATA ANALYSIS IN FOOD AND NUTRITION SCIENCE
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.
Full text available in english in Adobe Acrobat format:http://www.food.actapol.net/issue1/volume2/2_1_2005.pdf
Keywords: CAB and FSTA databases, food science, functional properties, multiple regression, neural networks, partial least squares regression, principal component analysis
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
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
Streszczenie w języku polskim:
http://www.food.actapol.net/tom4/zeszyt1/abstrakt-2.html
http://www.food.actapol.net/tom4/zeszyt1/abstrakt-2.html