Statistics and Chemometrics for Analytical Chemistry

7. Auflage 2018
ISBN: 978-1-292-18671-9
Verlag: Pearson International

Buch, Englisch, 312 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 607 g

Statistics and Chemometrics for Analytical Chemistry 7 edition provides a clear, accessible introduction to main statistical methods used in modern analytical laboratories.

It 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.

Features of the new edition:

·    Significant revision of the Quality of analytical measurements chapter to incorporate more detailed coverage of the estimation of measurement uncertainty and the validation of analytical methods.

·    Updated coverage of a range of topics including robust statistics, Bayesian methods, and testing for normality of distribution, plus expanded material on regression and calibration methods.

·    Additional experimental design methods, including the increasingly popular optimal designs.

·    Worked examples have been updated throughout to ensure compatibility with the latest versions of Excel and Minitab.

·    Exercises are available at the end of each chapter to allow student to check understanding and prepare for exams.  Answers are provided at the back of the book for handy reference. 

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.

Autoren/Hrsg.

Miller, James

Miller, Jane C

Inhaltsverzeichnis

1. 1 Introduction
2. 2 Statistics of repeated measurements
3. 3 Significance tests
4. 4 The quality of analytical measurements
5. 5 Calibration methods in instrumental analysis: Regression and correlation
6. 6 Non-parametric and robust methods
7. 7 Experimental design and optimisation
8. 8 Multivariate analysis

Über Autor(innen)

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 Divisionss Statistical Sub-Committee. A former member of the Societys Council, he has served on the editorial boards of many analytical and spectroscopic journals.

Dr Jane Miller completed a PhD at Cambridge Universitys 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.