Quality Control in Analytical ChemistryWiley, 1981 - 276 pagina's This book describes techniques that can be applied to improve the quality of analytical methods, sampling and data handling. It indicates what quality parameters can be improved and which one should be improved first. The philosophy behind this book is that there exists a mutual interaction between the measuring system (i.e. the laboratory), the environment (i.e. the person or organization that poses the analytical questions), and the ampled process. Correspondingly these three entities are discussed as a unified process. |
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accuracy accuracy and precision Anal analysis of variance analytical chemistry analytical method analytical procedure applied autocorrelation function B. R. Kowalski calculated chart Chem chemical analysis combination component composition compound concentration constant correlation cost decision deconvolution defined denoted described distribution equals equation error estimated example experiment factor Figure filtering given grab gross sample homogeneous instruments Kalman filtering Kolmogorov test limit of detection matrix mean method of analysis noise normal normal distribution null hypothesis number of samples object obtained optimal organization particle pattern recognition points possible practice precision prediction probability problem process value properties quality parameters quantity random reliability rule sample quality sampling frequency Section selected separating liquids sequential analysis signal situations standard deviation stationary process statistical subsample T₁ Table techniques theory threshold tion transformation types variables various x₁ y-values yields Youden ΚΑ σχ