Statistics in SpectroscopyElsevier Science, 19 févr. 1991 - 313 pages This tutorial offers a basic hands-on approach to statistical analysis for chemists and spectroscopists. Without involving complicated mathematics, this book is designed to provide the reader with the basic principles underlying the use of common mathematical and statistical tools. Particular emphasis has been given to problem-solving applications and the proper use and interpretation of spectroscopic data. With exercises throughout, this book is also suitable for use as a textbook in analytical chemistry, instrumental analysis, and statistics in chemistry courses. |
Table des matières
Chapter | 1 |
IMPORTANT CONCEPTS FROM Probability THEORY | 7 |
Chapter 3 | 23 |
Droits d'auteur | |
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Expressions et termes fréquents
absorbance actually algorithm analyte ANOVA ANOVA table apply assumption average Beer's Law bution calculated calibration line calibration model calibration set Central Limit Theorem Chapter characteristics chemometrics column computed concentration concepts confidence interval confidence level confidence limit corresponding critical values data points defined degrees of freedom determine discussion distri effect equal error sources estimate example expected value experiment experimental design F statistic fact factors Figure formula given important included instrument integers mathematical mean square nn nn nn noise level Normal distribution null hypothesis number of degrees obtained outlier parameter performing hypothesis tests population mean population value probability levels problem properties question random numbers random samples range reader readings regression relationship represents residuals sample mean science of statistics selected situation specified spectra spectroscopic spectroscopy spectrum standard deviation statisticians sum of squares techniques term test statistic tion unbiased variability variation wavelength wavenumbers zero