EAN: 9781461450092

SPRINGERBRIEFS IN FOOD HEALTH AND NUTRITION S...

Many statistical innovations are linked to applications in food science. For example  the
student t-test (a statistical method) was developed to monitor the quality of stout at the
Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic
analysis of foods. Nevertheless  statistical methods are most often associated with engineering
mathematics  and the medical sciences  and are rarely thought to be driven by food science.
Consequently  there is a dearth of statistical methods aimed specifically at food science 
forcing researchers to utilize methods intended for other disciplines. The objective of this
Brief will be to highlight the most needed and relevant statistical methods in food science and
thus eliminate the need to learn about these methods from other fields. All methods and their
applications will be illustrated with examples from research literature.

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