Central limit theorem for quadratic forms for sparse tables

Sufficient conditions for asymptotic normality for quadratic forms in {nt - npt} are given, where {nt} are the observed counts with expected cell means {npt}. The main result is used to derive asymptotic distributions of many statistics including the Pearson's chi-square.

MoreLess

Year of publication:	1987
Authors:	Burman, Prabir
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 22.1987, 2, p. 258-277
Publisher:	Elsevier
Keywords:	central limit theorem quadratic forms sparse tables

More details

Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005160572