Full text available in english in Adobe Acrobat format:https://www.food.actapol.net/volume4/issue1/2_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.
Keywords: CAB and FSTA databases, food science, functional properties, multiple regression, neural networks, partial least squares regression, principal component analysis
Full text available in english in Adobe Acrobat format:https://www.food.actapol.net/volume4/issue1/2_1_2005.pdf
For citation:
| MLA | Darewicz, Małgorzata, and Jerzy Dziuba. "ADVANCED STATISTICAL METHODS AS A NEW TOOL FOR DATA ANALYSIS IN FOOD AND NUTRITION SCIENCE." Acta Sci.Pol. Technol. Aliment. 4.1 (2005): 17-25. |
| APA | 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 |
| ISO 690 | DAREWICZ, Małgorzata, DZIUBA, Jerzy. ADVANCED STATISTICAL METHODS AS A NEW TOOL FOR DATA ANALYSIS IN FOOD AND NUTRITION SCIENCE. Acta Sci.Pol. Technol. Aliment., 2005, 4.1: 17-25. |