Statistics and Chemometrics for Analytical ChemistryThis 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. |
Contents
Statistics of repeated measurements | 20 |
Contents | 37 |
1 | 65 |
Copyright | |
7 other sections not shown
Common terms and phrases
action lines analytical chemistry analytical methods applied between-sample Calibration methods calibration plot Chapter Chemometrics compared confidence interval confidence limits control chart correlation coefficient critical value cumulative frequency curve cusum degrees of freedom described determined differ significantly effect estimate example experiment Experimental design fluorescence give given groups instrumental analysis interaction intercept laboratory limit of detection linear log-normal distribution median methods in instrumental Minitab ml-¹ ml¹ normal distribution null hypothesis number of degrees number of measurements optimum outliers performed points population possible precision principal components problem procedure quality of analytical r-value random errors range rank regression line rejected relative standard deviation repeated measurements replicate measurements response robust methods sample means SAN DIEGO Section Shewhart Shewhart chart shows significance tests simplex slope solution spectrometry statistical straight line sum of squares Sy/x systematic errors t-test Table tion titration two-way ANOVA types warning line wavelength weighted regression x-values