Accession Number : ADA111817

Title :   Fundamental Review 'Chemometrics'.

Descriptive Note : Interim rept.,

Corporate Author : WASHINGTON UNIV SEATTLE LAB FOR CHEMOMETRICS

Personal Author(s) : Frank,Ildiko E ; Kowalski,Bruce R

PDF Url : ADA111817

Report Date : Feb 1982

Pagination or Media Count : 78

Abstract : During the last two years since Chemometrics became a formal entry in the Fundamental Reviews issue of ANALYTICAL CHEMISTRY the topic has been defined, taught, expanded, matured and hopefully, brought at least a few chemists and statisticians and applied mathematicians a bit closer together. As per the international Chemometrics Society, chemometrics is defined as the chemical discipline that uses mathematical and statistical methods, (a) to design or select optimal measurement procedures and experiments; and (b) to provide maximum chemical information by analyzing chemical data. In the field of Analytical Chemistry, Chemometrics is the chemical discipline that uses mathematical and statistical methods for the obtention in the optimal way of relevant information on material systems. Even in spite of the formidable barrier of having to learn such topics as multivariate statistics, linear algebra and numerical analysis, analytical chemists are becoming increasingly more interested in and aware of the potential rewards application of the tools from this new sub-discipline can provide. Even a casual perusal through this review should serve to convince the reader that analytical chemistry is beginning to mature as an information science and that analytical chemometrics will change the way analytical methods are developed and then applied. (E1), (E5). The authors prefer to view chemometrics as an interface between chemistry and mathematics. The tools are vehicles that can aid chemists to move more efficiently on the path from measurements to information to knowledge.

Descriptors :   *Analytical chemistry, *Literature surveys, *Statistical analysis, *Mathematical analysis, Chemical information systems, Information sciences, Numerical analysis, Numerical methods and procedures, Multivariate analysis, Linear algebraic equations, Linear regression analysis, Information systems, Chemicals

Subject Categories : Physical Chemistry
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE