James Miller, Jane C Miller

Statistics and Chemometrics for Analytical Chemistry (eBook, PDF)

• Format: PDF

Produktbeschreibung

Statistics and Chemometrics for Analytical Chemistry provides a clear, accessible introduction to the main statistical methods used in modern analytical laboratories.

This popular book continues to be the ideal companion for students in Chemistry and related fields keen to build their understanding of how to conduct high quality analyses in areas such as the safety of food, water and medicines, environmental monitoring, and chemical manufacturing. With a focus on the underlying statistical ideas, this book incorporates useful real world examples, step by step explanation and helpful exercises throughout.

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Produktdetails

• Verlag: Pearson HigherEducation
• Seitenzahl: 312
• Erscheinungstermin: 17. April 2018
• Englisch
• ISBN-13: 9781292186726
• Artikelnr.: 55430998

Autorenporträt

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 Chemsitry. A Past President of the Analytical Division of the RSC, he is currently Chairman of the Divisions's Statistical Sub-Committee. A former member of the Society's Council, he has served on the editorial boards of many analytical and spectroscopic journals.

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 from Sheffield Hallam University and is the author of several specialist A-level statistics texts.

Robert Miller has an honours degree in chemistry from Southampton University and completed an MSc in Environmental Monitoring at Bradford University. He has over 20 years experience as an analytical chemist in the water and pharmaceutical industries, specialising in the areas of method development and validation.

Inhaltsangabe

Glossary of symbols
1 Introduction
2 Statistics of repeated measurements
3 Significance tests
4 The quality of analytical measurements
5 Calibration methods in instrumental analysis: Regression and correlation
6 Non-parametric and robust methods
7 Experimental design and optimisation
8 Multivariate analysis
Appendix 1: Commonly used statistical significance tests
Appendix 2: Statistical tables