GENERALIZED SHIFTED-FACTOR ANALYSIS METHOD FOR MULTIVARIATE GEO-REFERENCED DATA

dc.contributor.author	Christensen W.F.
dc.contributor.author	Amemiya Ya.
dc.date.accessioned	2021-03-14T06:41:31Z
dc.date.available	2021-03-14T06:41:31Z
dc.date.issued	2001
dc.identifier	https://www.elibrary.ru/item.asp?id=803917
dc.identifier.citation	Mathematical Geology, 2001, 33, 7, 801-824
dc.identifier.issn	0882-8121
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/26698
dc.description.abstract	Multivariate data with spatial dependencies arise in many areas of application, including geology, precision agriculture, and ecology. For analysis of such data, a methodology based on a generalized shifted-factor model is developed. The model incorporates potential lagged dependencies between factors and observed variables, representing asymmetric spatial dependencies observed in practice. Identification and estimation issues are discussed. A prediction procedure that exploits both the multivariate and spatial dependence in the data is proposed and illustrated.
dc.subject	LATENT VARIABLE MODELING
dc.subject	SPATIAL DATA
dc.subject	LAGGED DEPENDENCIES
dc.title	GENERALIZED SHIFTED-FACTOR ANALYSIS METHOD FOR MULTIVARIATE GEO-REFERENCED DATA
dc.type	Статья

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