Experimental design in chemometrics

Autor:	John A. Palasota, Stanley N. Deming, Josephine M. Palasota
Rok vydání:	1991
Předmět:	Chemometrics Multivariate statistics Multivariate analysis Systems theory Computer science Applied Mathematics Measurement science Robust statistics Data mining Statistical process control computer.software_genre computer Analytical Chemistry
Zdroj:	Journal of Chemometrics. 5:181-192
ISSN:	1099-128X 0886-9383
DOI:	10.1002/cem.1180050306
Popis:	Chemometrics is defined as the application of mathematical and statistical methods to chemical systems. Systems theory is seen to be useful for organizing and categorizing the inputs to and outputs from chemical systems. Advances in measurement science in the 1950s and 1960s, particularly in analytical chemistry, created a need for a multivariate approach to data analysis. Early chemometrics emphasized the use of structure-finding methods for existing data sets. In many instances, data sets can be obtained from designed experiments. Such data sets are more likely to contain the desired information and the data can usually be acquired at less cost. Renewed interest in statistical process control will provide many new, more robust data sets in the future.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1d49fec0acb098762e9ee29eb0bbc0f7 https://doi.org/10.1002/cem.1180050306 Zobrazit plný text záznamu Plný text