Beyond principal component analysis: A trilinear decomposition model and least squares estimation

Autor:	Joachim Möcks, Tuan Dinh Pham
Rok vydání:	1992
Předmět:	Estimation theory Consistency (statistics) Applied Mathematics Non-linear least squares Principal component analysis Statistics Decomposition (computer science) Applied mathematics Asymptotic distribution Generalized least squares Least squares General Psychology Mathematics
Zdroj:	Psychometrika. 57:203-215
ISSN:	1860-0980 0033-3123
Popis:	The paper derives sufficient conditions for the consistency and asymptotic normality of the least squares estimator of a trilinear decomposition model for multiway data analysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::810c23c992002106f8611b7e7a67f15d https://doi.org/10.1007/bf02294505 Zobrazit plný text záznamu Full text from SpringerLink