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A self-normalized central limit theorem for ρ-mixing stationary sequences

Author
XINXIN JIANG; HAHN, Marjorie
[1] Department of Mathematics and Computer Sciences, Suffolk University, Boston, MA 02114, United States
[2] Department of Mathematics, Tufts University, Medford, MA 02155, United States
Source

Statistics & probability letters. 2008, Vol 78, Num 12, pp 1541-1547, 7 p ; ref : 1/4 p

CODEN
SPLTDC
ISSN
0167-7152
Scientific domain
Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Mélange loi probabilité Mélangeage Méthode statistique Suite stationnaire Théorie probabilité Théorème central limite Variable aléatoire 60F05
Keyword (en)
Mixed distribution Mixing Statistical method Stationary sequence Probability theory Central limit theorem Random variable
Keyword (es)
Mezcla ley probabilidad Mezclado Método estadístico Sucesión estacionaria Teoría probabilidad Teorema central límite Variable aléatoria
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01A General topics

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H01 Probability theory and stochastic processes / 001A02H01G Limit theorems

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02A General topics

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20628564

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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