About this paper

Appears in:
Pages: 2539-2549
Publication year: 2009
ISBN: 978-84-612-9801-3
ISSN: 2340-1117

Conference name: 1st International Conference on Education and New Learning Technologies
Dates: 6-8 July, 2009
Location: Barcelona ,Spain

STATISTICAL TECHNIQUES AS ANALYTICAL TOOLS IN THE STUDY AND RESEARCH OF FOOD SAFETY AND QUALITY

L.J. Barron, E. Agirre

University of the Basque Country (SPAIN)
Students of food science and technology often do not know the usefulness of statistical techniques in this field, and in particular, in food safety and quality. However, statistics can be play a decisive role in quantifying effects, controlling processes, forecasting stability parameters, measuring risks, deciding optimal markers, and interpreting evidences related to food safety and quality. Nowadays, statistical experimental design and analysis is an indispensable tool for researchers and professionals who develop new process and safe food products with high quality. Students, researchers and professionals have to be able to know relevant statistical techniques and their potential usefulness. They also have to be able to apply specific statistical analyses regarding the objective of the study or investigation and to interpret results derived from statistical analyses. Principles, objectives, scope and limitations of experimental designs, particularly factorial designs in food safety and quality, are discussed in the paper. Objectives and scope of the most applied univariate statistical techniques, such as analysis of variance and simple linear regression are also discussed. Application of some multivariate analysis such as factor, discriminant and cluster analysis, and non-linear models such as neural networks for some purposes are also included.

The aim of this paper is to provide students, researchers and professionals with a general view for the potential usefulness of statistical techniques in food safety and quality studies. The application of different univariate and multivariate statistical techniques is discussed by means of actual examples.

References and links:

Reza Hoshmand, A. Statistical Methods for Environmental & Agricultural Sciences. CRC Press, New York, 1998.
Jeff Wu, C.F., Hamada, M. Experiments. Planning, Analysis, Parameter Design Optimization. John Wiley & Sons, New York, 2000.
http://www.statistics.com
http://www.amstad.org/publications/jse/
http://www.mastercalidadseguridadalimentaria.ehu.es

@InProceedings{BARRON2009STA,
author = {Barron, L.J. and Agirre, E.},
title = {STATISTICAL TECHNIQUES AS ANALYTICAL TOOLS IN THE STUDY AND RESEARCH OF FOOD SAFETY AND QUALITY},
series = {1st International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN09 Proceedings},
isbn = {978-84-612-9801-3},
issn = {2340-1117},
publisher = {IATED},
location = {Barcelona ,Spain},
month = {6-8 July, 2009},
year = {2009},
pages = {2539-2549}}
TY - CONF
AU - L.J. Barron AU - E. Agirre
TI - STATISTICAL TECHNIQUES AS ANALYTICAL TOOLS IN THE STUDY AND RESEARCH OF FOOD SAFETY AND QUALITY
SN - 978-84-612-9801-3/2340-1117
PY - 2009
Y1 - 6-8 July, 2009
CI - Barcelona ,Spain
JO - 1st International Conference on Education and New Learning Technologies
JA - EDULEARN09 Proceedings
SP - 2539
EP - 2549
ER -
L.J. Barron, E. Agirre (2009) STATISTICAL TECHNIQUES AS ANALYTICAL TOOLS IN THE STUDY AND RESEARCH OF FOOD SAFETY AND QUALITY, EDULEARN09 Proceedings, pp. 2539-2549.
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