Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Statistical Methods in Food and Consumer Research, Second Edition

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Gacula, Maximo C., Jr./ Singh, Jagbir/ Bi, Jian/ Altan, Stan 作者
譯者
2008-12 出版日期
888 頁數
973.00元 價格
叢書系列
9780123737168 圖書編碼

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Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 著者簡介


Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 著者簡介


Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistical Methods in Food and Consumer Research, Second Edition 在線電子書 圖書描述

Statistical Methods in Food and Consumer Research continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products.

This new edition includes the most receent applications of statistical methods, and features significant updates as well as two new chapters.

Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences. Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available.

Key Features:

* Provides comprehensive coverage of statistical techniques in sensory testing

* Includes data compiled from real-world experiments

* Covers the latest in data interpretation and analysis

* Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping

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