Statistics and Chermometrics for Analytical Chemistry

James N. Miller, Jane C. Miller

268 pages, parution le 29/06/2005 (5^eme édition)

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Résumé

This popular textbook gives a clear account of the principles of the main statistical methods used in modern analytical laboratories. Such methods underpin high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical manufacturing. The treatment throughout emphasises the underlying statistical ideas, and no detailed knowledge of mathematics is required. There are numerous worked-examples, including the use of Microsoft Excel and Minitab, and a large number of student exercises, many of them based on examples from the analytical literature.

Key features

expanded treatment of control charts
additions to cover single point calibration and method comparison techniques
extended treatment of robust methods
major additions to sections on multivariate regression
numerous worked examples, using Microsoft Excel and Minitab
an attractive two-colour text design
updated Instructors' Manual
improved website, www.pearsoned.co.uk/miller, including examples for lecturers and students

This book is aimed at undergraduate and graduate courses in Analytical Chemistry and related topics. It will also be a valuable resource for researchers and chemists working in analytical chemistry.

L'auteur - James N. Miller

Professor James Miller is Emeritus Professor of Analytical Chemistry at Loughborough University. He has published numerous reviews and papers on analytical techniques and been awarded the SAC Silver Medal, the Theophilus Redwood Lectureship and the SAC Gold Medal by the Royal Society of Chemistry. A past President of the Analytical Division of the RSC, he is a member of the Society's Council and has served on the editorial boards of many analytical and spectroscopic journals.

L'auteur - Jane C. Miller

Dr Jane Miller completed a PhD at Cambridge University's Cavendish Laboratory and is an experienced teacher of mathematics and physics at higher education and 6th form levels. She holds an MSc in Applied Statistics and is the author of several specialist A-level statistics texts.

Sommaire

Preface to the fifth edition
Preface to the first edition
Acknowledgments
Glossary of symbols
Introduction
Statistics of repeated measurements
Significance tests
The quality of analytical measurements
Calibration methods: regression and correlation
Non-parametric and robust methods
Experimental design and optimization
Multivariate analysis
Solution to exercices
Appendix 1: Commonly used statistical significance tests
Appendix 2: Statistical tables
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Pearson
Auteur(s)	James N. Miller, Jane C. Miller
Parution	29/06/2005
Édition	5^eme édition
Nb. de pages	268
Format	19 x 24,5
Couverture	Broché
Poids	567g
Intérieur	2 couleurs
EAN13	9780131291928
ISBN13	978-0-13-129192-8