Data Analysis for Chemistry

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A01=D. Brynn Hibbert
A01=J. Justin Gooding
Author_D. Brynn Hibbert
Author_J. Justin Gooding
Category=PBT
Category=PDE
Category=PN
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science

Product details

  • ISBN 9780195162103
  • Weight: 463g
  • Dimensions: 242 x 160mm
  • Publication Date: 27 Oct 2005
  • Publisher: Oxford University Press Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Chemical data analysis, with aspects of metrology in chemistry and chemometrics, is an evolving discipline where new and better ways of doing things are constantly being developed. This book makes data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things. Based on author D. Brynn Hibberts lectures on data analysis to undergraduates and graduate students, Data Analysis for Chemistry covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. The end result is a compromise between recipes of how to perform different aspects of data analysis, and basic information on the background principles behind the recipes to be performed. An entry level book targeted at learning and teaching undergraduate data analysis, Data Analysis for Chemistry makes it easy for readers to find the information they are seeking to perform the data analysis they think they need.

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