Statistics and Chemometrics for Analytical Chemistry (7^th Ed.)

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

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. 

• 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

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.

• Clear, accessible introduction to the main statistical methods used in modern analytical laboratories.
• Features a comprehensive coverage including robust statistics, Bayesian methods, and testing for normality of distribution, plus expanded material on regression and calibration methods
• Quality of analytical measurements chapter includes up to date and detailed coverage of the estimation of measurement uncertainty and the validation of analytical methods.
• Includes a range of 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.