Linear/nonlinear forms and the normal law: Characterization by high order correlations
type: Item
instance of: scholarly article
title: Linear/nonlinear forms and the normal law: Characterization by high order correlations
zbMATH Open document ID: 0627.62055
DOI: 10.1007/BF02491479
author: Elias Masry
author: Bernard Picinbono
published in: Annals of the Institute of Statistical Mathematics
publication date: 1987-01-01T00:00:00Z
review text: The problem of characterizing the normal law associated with linear forms and processes, as well as with quadratic forms, is considered. The classical condition of constancy of regression is replaced by a distinct condition of high-order uncorrelatedness.
Mathematics Subject Classification ID: 62H05
Mathematics Subject Classification ID: 62E10
zbMATH DE Number: 4020233
zbMATH Keywords: linear processes
zbMATH Keywords: characterization
zbMATH Keywords: normal law
zbMATH Keywords: linear forms
zbMATH Keywords: quadratic forms
zbMATH Keywords: high-order uncorrelatedness
Wikidata QID: Q114852606
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 4020233