On the generalized domain of attraction of the multivariate normal law and asymptotic normality of the multivariate Student <mml:math altimg="si1.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:mi>t</mml:mi></mml:math>-statistic-Reference-Cited by-同舟云学术

On the generalized domain of attraction of the multivariate normal law and asymptotic normality of the multivariate Student t-statistic

Author:

Martsynyuk Yuliya V.

Funder

NSERC Canada Individual Discovery

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference19 articles.

2. Self-Normalized Processes: Limit Theory and Statistical Applications;de la Peña,2009

3. An Introduction to Probability Theory and Its Applications. Vol. 2;Feller,1971

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