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Quantitative approximation to the ordered dirichlet distribution under varying basic probability spaces

Author
YAMADA, T1 ; MATSUNAWA, T2
[1] The Graduate Universities for Advanced Studies, 4-6-7 Minami-Azabu, Minato-ku, Tokyo 106-8569, Japan
[2] The Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo 106-8569, Japan
Source

Annals of the Institute of Statistical Mathematics. 2000, Vol 52, Num 2, pp 197-214 ; ref : 11 ref

CODEN
AISXAD
ISSN
0020-3157
Scientific domain
Control theory, operational research; Mathematics
Publisher
Kluwer, Dordrecht / Kluwer, Tokyo
Publication country
Japan
Document type
Article
Language
English
Keyword (fr)
Espace probabilité Estimation erreur Fonction densité Loi normale Loi probabilité Méthode approchée Série Dirichlet Affininté modifiée Développement aprroché Loi Dirichlet Loi approximative
Keyword (en)
Probability space Error estimation Density function Gaussian distribution Probability distribution Approximate method Dirichlet series Modified affinity Approximate expansion Dirichlet distribution Approximate distribution
Keyword (es)
Espacio probabilidad Estimación error Función densidad Curva Gauss Ley probabilidad Método aproximado Serie Dirichlet
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02E Mathematical analysis / 001A02E11 Approximations and expansions

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 / 001A02H01F Distribution theory

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1459158

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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