- An Introduction to Chemometrics
http://ourworld.compuserve.com/homepages/Catbar/int_chem.htm
A report given as Session F of Educational Symposium No. 17, The Use of Statistical Methods in Formulating and Testing of Rubber at the 130th Meeting of the ACS Rubber Division by Brian A. Rock, Ph.D. in October, 1985.
- Common algorithms used in digital signal processing and pattern recognition
http://www.galactic.com/Algorithms/
Galactic Industries Corporation is a spectroscopy software solutions company. On their site you can read about common algorithms used in signal processing, complete with equations and graphical description. A great source of valuable information about data processing.
- The Use of Chemometric Techniques in Process Analytical Method Development and Operation
http://www.emsl.pnl.gov:2080/docs/incinc/general/CEMdoc.pd5.html
An article by Charles E. Miller of DuPont Packaging and Industrial Polymers Research on using chemometric techniques to enhance data obtained from an online process sepctrometer.
- Chemometric Tutorials -- Why and How?
http://www.emsl.pnl.gov:2080/docs/incinc/chem_ed/JWdoc.wm5.html
A paper by Jerry Workman, Jr of The Perkin Elmer Corporation. "The purpose of this paper is twofold; first to open a discussion on how to better communicate this "new" mathematical power, available for the first time to chemists; and (2) to take look into the future and propose better methods of utilizing tutorials for training both ourselves and future chemistry problem solvers. "
- Method Validation Tutorials
http://minf.vub.ac.be/~fabi/
From the pharmaceutical institute of the Vrij Universiteit in Belgium a series of articles about method validation and chemometrics.
- The World Wide Club for the Chemistry Community
http://www.chemweb.com/
Join the ChemWeb for free and then read the latest on chemometrics at .
- Electronic Statistics Textbook
http://www.statsoft.com/textbook/stathome.html
A searchable electronic statistics reference book. "This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics and forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included."
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