Central limit theorem for quadratic forms for sparse tables

Prabir Burman

Journal of Multivariate Analysis, 1987, vol. 22, issue 2, 258-277

Abstract: 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.

Keywords: central; limit; theorem; quadratic; forms; sparse; tables (search for similar items in EconPapers)
Date: 1987
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Citations: View citations in EconPapers (2)

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