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Chi-square approximation by Stein's method with application to Pearson's statistic

Abstract:

This paper concerns the development of Stein's method for chi-square approximation and its application to problems in statistics. New bounds for the derivatives of the solution of the gamma Stein equation are obtained. These bounds involve both the shape parameter and the order of the derivative. Subsequently Stein's method for chi-square approximation is applied to bound the distributional distance between Pearson's statistic and its limiting chi-square distribution, measured using smooth te...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1214/16-AAP1213

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More from this funder
Funding agency for:
Gaunt, R
Reinert, G
Grant:
GR/R52183/01
EP/K032402/1
Publisher:
Institute of Mathematical Statistics
Journal:
Annals of Applied Probability More from this journal
Volume:
27
Issue:
2
Pages:
720-756
Publication date:
2017-05-26
DOI:
Keywords:
Pubs id:
pubs:532071
UUID:
uuid:7b256058-ea46-45df-82af-a1df9af975ad
Local pid:
pubs:532071
Source identifiers:
532071
Deposit date:
2016-03-03

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