Data Analysis for Chemistry
An Introductory Guide for Students and Laboratory Scientists
Seiten
2005
Oxford University Press Inc (Verlag)
978-0-19-516210-3 (ISBN)
Oxford University Press Inc (Verlag)
978-0-19-516210-3 (ISBN)
Based on D Brynn Hibbert's lectures on data analysis to undergraduates and graduate students, this book covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. It is meant as an entry level book targeted at learning and teaching undergraduate data analysis.
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.
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.
Definitions, Questions, and Useful Functions: Where to Find Things and What To Do
1: Introduction
2: Describing Data
3: Hypothesis Testing
4: Analysis of Variance
5: Calibration
| Erscheint lt. Verlag | 1.11.2005 |
|---|---|
| Zusatzinfo | 4 halftones, 55 line illus. |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 242 x 160 mm |
| Gewicht | 463 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Naturwissenschaften ► Chemie | |
| ISBN-10 | 0-19-516210-2 / 0195162102 |
| ISBN-13 | 978-0-19-516210-3 / 9780195162103 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Buch | Softcover (2024)
Springer Vieweg (Verlag)
CHF 62,95
Anwendungen und Theorie von Funktionen, Distributionen und Tensoren
Buch | Softcover (2023)
De Gruyter Oldenbourg (Verlag)
CHF 97,90
