Institute of Information Theory and Automation

Publication details

A class of modified Pearson and Neyman statistics

Journal Article

Györfi L., Vajda Igor


serial: Statistics & Decisions vol.19, p. 239-251

research: AV0Z1075907

project(s): 579, Copernicus

keywords: Pearson statistics, Neyman statistics, robust versions

abstract (eng):

The paper proves an asymptotic equivalence of the Neyman and Pearson statistics and establishes an asymptotic normality of the Pearson statistics under weaker conditions than those known from the literature.

Cosati: 12B

RIV: BB

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Last modification: 21.12.2012
Institute of Information Theory and Automation