| 书目名称 | Statistics in Food Science and Nutrition | | 编辑 | Are Hugo Pripp | | 视频video | | | 概述 | Discusses the methods and principles of statistical analysis.Discusses the various applications of statistics to food science.A useful tool for biostatisticians.Includes supplementary material: | | 丛书名称 | SpringerBriefs in Food, Health, and Nutrition | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2013 | | 关键词 | applied statistics; epidemiology; food science; health; nutrition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-5010-8 | | isbn_softcover | 978-1-4614-5009-2 | | isbn_ebook | 978-1-4614-5010-8Series ISSN 2197-571X Series E-ISSN 2197-5728 | | issn_series | 2197-571X | | copyright | Springer Science+Business Media New York 2013 |
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发表于 2025-3-21 19:58:46
