Handbook of Chemometrics and Qualimetrics, Volume 20A

1st Edition

Part A

Series Volume Editors: Massart
Hardcover ISBN: 9780444897244
eBook ISBN: 9780080551906
Imprint: Elsevier Science
Published Date: 12th December 1997
Page Count: 886
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Table of Contents

Introduction. The aims of chemometrics. An overview of chemometrics. Some historical considerations. Chemometrics in industry and academia. References. Statistical Description of the Quality of Processes and Measurements. Introductory concepts about chemical data. Measurement of quality. Quality of processes and statistical process control. Quality of measurements in relation to quality of processes. Precision and bias of measurements. Some other types of error. Propagation of errors. Rounding and rounding errors. References. The Normal Distribution. Population parameters and their estimators. Moments of a distribution: mean, variance, skewness. The normal distribution: description and notation. Tables for the standardized normal distribution. Standard errors. Confidence intervals for the mean. Small samples and the t-distribution. Normality tests: a graphical procedure. How to convert a non-normal distribution into a normal one. References. An Introduction to Hypothesis Testing. Comparison of the mean with a given value. Null and alternative hypotheses. Using confidence intervals. Comparing a test value with a critical value. Presentation of results of a hypothesis test. Level of significance and type I error. Power and type II errors. Sample size. One- and two-sided tests. An alternative approach: interval hypotheses. References. Some Important Hypothesis Tests. Comparison of two means. Multiple comparisons. &bgr; error and sample size. Comparison of variances. Outliers. Distribution tests. References. Analysis of Variance. One-way analysis of variance. Assumptions. Fixed effect models: testing differences between means of columns. Random effect models: variance components. Two-way and multi-way ANOVA. Interaction. Incorporation of interaction in the residual. Experimental design and modelling. Blocking. Repeated testing by ANOVA. Nested ANOVA. References


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© Elsevier Science 1997
Elsevier Science
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@qu:There seems to be little doubt that this book will become a bible for all chemometricians...
...the order of chapters chosen by the authors turns out to be excellent, and the clarity of presentations, the uniformity of style between chapters presumably contributed by different authors, the plentiful cross-referencing between sections, and the good index, all provide testimony to the great care with which the volume has been written: clearly a labour of love! Moreover it is hard to point to a single area of any significance which has been omitted or which has received inadequate treatment and the use of simple and relevant example data sets throughout ensures a stimulating read and brings these potentially rather dry topics to life.
In short, this is a magnificent book, written by world-class innovators and users of chemometrics, and it deserves to be on the shelves of all teachers and researchers in the analytical sciences. @source:Journal of Pharmaceutical Analysis @qu:...there is evidence of considerable thought having been given to the problems that the material could present to a novice reader. In each chapter the discussion progresses smoothly from an elementary introductory section to the development of the target subject. With the type of material that this book covers, newcomers often experience difficulty in understanding the utility of abstract concepts. The authors have dealt effectively with this problem by a generous use of examples that are couched in terms that are meaningful to chemists. This book is a welcome addition to the field of chemometrics. @source:Applied Spectroscopy

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