Factor Analysis in Chemistry 3rd Edition by Edmund R. Malinowski, ISBN-13: 978-0471134794
[PDF eBook eTextbook]
- Publisher: Wiley; 3rd edition (March 7, 2002)
- Language: English
- 432 pages
- ISBN-10: 0471134791
- ISBN-13: 978-0471134794
The fundamentals of the discipline, now complete with the latest experimental research and techniques.
Factor analysis is a mathematical tool for examining a wide range of data sets, with applications especially important to the design of experiments (DOE), spectroscopy, chromatography, and chemometrics. Whereas the first two editions concentrated on standardizing the fundamentals of this emerging discipline, the Third Edition of Factor Analysis in Chemistry, the “bible” of factor analysis, proves a comprehensive handbook at a level that is consistent with the research and design of experiments today.
With the exception of updates, the introductory chapters remain unchanged. Chapter 6 has been edited to focus on evolutionary methods, including window factor analysis, transmutation, and DECRA. Selections on partial least squares and multimode analysis have been expanded and consolidated into two new chapters, 7 and 8. Some of the latest advances in a wide variety of fields, such as chromatography, NMR, biomedicine, environmental science, food, and fuels, are described in the applications chapters (chapters 9 through 12).
Other features of the text include:
* Provides history of the discipline as well as theory, philosophy, and applications
* Written for all readership levels: introductory, intermediate, and advanced
* Explains complicated concepts in simple language without sacrificing mathematical rigor
* Presents concepts and programs in a style that allows the user to develop programs in any computer language
* Demonstrates the utility of various factor analytical techniques for solving practical problems in chemistry and related sciences
* Showcases a unique presentation of partial least squares
Factor Analysis in Chemistry, Third Edition remains the premier reference in its field.
Table of Contents:
Preface ix
Preface to the Second Edition xi
Preface to the First Edition xiii
Historical Perspective of the Author xv
Prologue xvii
1 Introduction 1
2 Main Steps 11
3 Mathematical Formulation of Target Factor Analysis 28
4 Effects of Experimental Error on Target Factor Analysis 73
5 Numerical Examples of Target Factor Analysis 133
6 Evolutionary Methods 151
7 Multimode Factor Analysis 197
8 Partial Least-Squares Regression 223
9 Component Analysis 255
10 Nuclear Magnetic Resonance 295
11 Chromatography 311
12 Additional Applications 335
Appendix A Pseudoinverse
Appendix B Toolbox for Chemical Factor Analysis
Appendix C MATLAB programs
Bibliography
Author Index
Subject Index
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