RT Web Page DB /z-wcorg/ DS http://worldcat.org ID 811249946 LA English UL http://public.eblib.com/choice/publicfullrecord.aspx?p=1030817 T1 Statistics in food science and nutrition A1 Pripp, Are Hugo., PB Springer PP New York, NY YR 2013 SN 9781461450108 1461450101 1461450098 9781461450092 AB 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.