DATA ANALYSIS FOR HYPHENATED TECHNIQUES

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Preface	p. 5
Summary of the book	p. 7
Analysis of overlapping spectra	p. 17
Data preprocessing	p. 25
Compression with principal components	p. 69
Techniques for library searches	p. 99
Neighborhood operations on hypenated data	p. 109
Alternating Regression	p. 127
Applying the OSCAR algorithm - A practical example	p. 141
Applications in other spectroscopies	p. 171
Validation	p. 183
AR and factor analysis	p. 195
Looking ahead	p. 203
The starting point	p. 211
Selecting and preprocessing the raw data	p. 221
Gathering the statistics from the AR experiment	p. 245
AR statistics in two dimensions	p. 271
AR statistics in three dimensions	p. 307
Selecting an optimal parameter set	p. 341
Displaying the spectra and elution curves	p. 367
Calculating the confidence ranges of the spectra and elution curves	p. 383
Looking at the confidence ranges of the spectra and elution curves	p. 409
Looking at the measurements	p. 427
Finding help	p. 443
Appendix	p. 457
Index	p. 469
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