This popular textbook gives a clear and lucid account of the underlying principles of statistical methods. The fourth edition has been revised and updated to reflect the growing popularity of statistics and chemometric methods and new approaches in optimization and experimental design. The authors have also addressed the quality of analytical chemistry data and experimental results, an area of increasing concern to chemists testing the safety of food and medicines. This book will suit undergraduate, M.Sc. and graduate courses in Analytical Chemistry and related topics, and will also be valuable for researchers and chemists working in analytical chemistry everywhere.

Statistics and Chemometrics for Analytical Chemistry

Science & Math

Miller, Jane C.

Miller, James N.

Chemistry

Pearson College Div

This third edition gives a clear and lucid account of the underlying principles of statistical methods. It reflects the enormous impact of microelectronics for the rapid calculation of chemometric procedures such as pattern recognition, optimization and numerical techniques. Significant changes and updates to most chapters of the previous edition have been made, particularly in curvilinear regression methods, robust statistical methods, multivariate methods, outliers in univariate statistics and calibration methods, initial data analysis, and experimental design and optimization. Fully revised bibliographies are included at the end of each chapter, together with exercises and solutions. Readership: Researchers and laboratory workers, including professional scientists in all areas of analytical chemistry. Undergraduate and postgraduate students of analytical chemistry, and their teachers.

Statistics for Analytical Chemistry

Ellis Horwood, Ltd.

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. 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.

Statistics and Chemometrics for Analytical Chemistry (5th Edition)

MIller, James

Pearson Education Canada

Statistics for Analytical Chemistry (Ellis Horwood Series in Analytical Chemistry)

Mathematics

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. Features of the new edition introduction to Bayesian methods additions to cover method validation and sampling uncertainty extended treatment of robust statistics new material on experimental design additions to sections on regression and calibration methods updated Instructors' manual improved website including further exercises 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. 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 a former member of the Society's Council and 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 and is the author of several specialist A-level statistics texts.

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