Statistical Methods in Food and Consumer Research, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 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
译者
2008-12 出版日期
888 页数
973.00元 价格
丛书系列
9780123737168 图书编码

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发表于2024-11-08


Statistical Methods in Food and Consumer Research, Second Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistical Methods in Food and Consumer Research, Second Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistical Methods in Food and Consumer Research, Second Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Statistical Methods in Food and Consumer Research, Second Edition 在线电子书 图书描述

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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