Improving the reliability of factor analysis of chemical data by utilizing the measured analytical uncertainty

Autor:	D. L. Duewer, J. L. Fasching, B. R. Kowalski
Rok vydání:	1976
Předmět:	Data processing Chemistry Statistics Applied mathematics Chemical data Statistical analysis Sensitivity analysis Statistical dispersion Data structure Reliability (statistics) Uncertainty analysis Analytical Chemistry
Zdroj:	Analytical Chemistry. 48:2002-2010
ISSN:	1520-6882 0003-2700
DOI:	10.1021/ac50007a048
Popis:	A procedure for including measured analytical uncertainty into data analysis methodology is discussed. The suitability of various dispersion matrices and matrix rank determination criteria for data having analytical uncertainty is investigated. A criterion useful for judging the number of factors insensitive to analytical uncertainty is presented. A model data structure for investigating the behavior of factor analysis techniques is described and analyzed. (Author)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f45e6449a10b695541c2a19dca097dc5 https://doi.org/10.1021/ac50007a048 Zobrazit plný text záznamu