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.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Undergraduate Chemistry Students
Illustrationen
Numerous tables, figures and spreadsheets
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 11 mm
Gewicht
ISBN-13
978-0-19-516211-0 (9780195162110)
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Schweitzer Klassifikation
D. Brynn Hibbert, Professor of Analytical Chemistry, University of New South Wales and J. Justin Gooding, Senior Lecturer in Chemistry, University of New South Wales
Autor*in
Professor of Analytical ChemistryProfessor of Analytical Chemistry, University of New South Wales
Senior Lecturer in ChemistrySenior Lecturer in Chemistry, University of New South Wales
