| Description |
268 pages : illustrations ; 25 cm |
| Contents |
1. Introduction -- 2. Statistics of repeated measurements -- 3. Significance tests -- 4. The quality of analytical measurements -- 5. Calibration methods : regression and correlation -- 6. Non-parametric and robust methods -- 7. Experimental design and optimization -- 8. Multivariate analysis |
| Summary |
"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."--BOOK JACKET |
| Notes |
Previous ed.: London: Prentice Hall, 2000 |
|
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references |
| Subject |
Chemometrics.
|
|
Chemometrics -- Textbooks.
|
| Genre/Form |
Textbooks.
|
| Author |
Miller, J. C. (Jane Charlotte)
|
| LC no. |
2004060168 |
| ISBN |
0131291920 paperback |
|
