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008 120913s2013 xxu| s |||| 0|eng d
020 _a9781461450108
_9978-1-4614-5010-8
024 7 _a10.1007/978-1-4614-5010-8
_2doi
050 4 _aTP248.65.F66
072 7 _aTDCT
_2bicssc
072 7 _aTEC012000
_2bisacsh
082 0 4 _a641.3
_223
082 0 4 _a664
_223
100 1 _aPripp, Are Hugo.
_eauthor.
245 1 0 _aStatistics in Food Science and Nutrition
_h[electronic resource] /
_cby Are Hugo Pripp.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aVIII, 66 p. 15 illus., 3 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Food, Health, and Nutrition
520 _a  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.    .
650 0 _aChemistry.
650 0 _aFood
_xBiotechnology.
650 0 _aNutrition.
650 0 _aBiostatistics.
650 0 _aStatistics.
650 1 4 _aChemistry.
650 2 4 _aFood Science.
650 2 4 _aBiostatistics.
650 2 4 _aNutrition.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461450092
830 0 _aSpringerBriefs in Food, Health, and Nutrition
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-5010-8
912 _aZDB-2-CMS
942 _2Dewey Decimal Classification
_ceBooks
999 _c44245
_d44245