Statistics and Chemometrics for Analytical ChemistryStatistics and Chemometrics for Analytical Chemistry 7th 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. |
Contents
Preface to the seventh edition | |
Glossary of symbols | |
Statistics of repeated measurements | |
Significance tests | |
The quality of analytical measurements | |
5 | |
6 | |
7 | |
8 | |
Solutions to exercises | |
Statistical tables | |
Other editions - View all
Statistics and Chemometrics for Analytical Chemistry James Miller,Jane C Miller Limited preview - 2018 |
Statistics and Chemometrics for Analytical Chemistry James N. Miller,Jane Charlotte Miller,Robert D. Miller No preview available - 2017 |
Statistics and Chemometrics for Analytical Chemistry James Miller,Jane C Miller No preview available - 2018 |
Common terms and phrases
analysis analyte concentration analytical chemistry analytical methods applied approach batch calibration graph calibration plot Chapter Chemometrics compared confidence interval confidence limits control chart correlation coefficient critical value curve data set degrees of freedom described determined differ significantly effect estimate example experimental design factorial design Figure fluorescence give given interaction laboratory limit of detection linear log-normal distribution matrix mean square median Minitab multivariate non-parametric normal distribution null hypothesis number of degrees number of measurements obtained optimisation optimum outliers performed points population possible practice precision principal components probability problem process mean r-value random errors range rank regression line regression methods rejected relative standard deviation replicate measurements residuals response robust sample means Section Shewhart Shewhart chart shows significance tests signs simplex Society of Chemistry solution spectrometry statistical straight line studied sum of squares systematic errors titration uncertainty variables variance variation wavelength weighted regression winsorisation x-value y-residuals