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A note on determining the number of outliers in a normal sample with unequal variances by least squares procedure

Author
HUNG, Wen-Liang1 ; WU, Jong-Wuu2
[1] Department of Mathematics Education, National Hsinchu Teachers College, Hsin-Chu, Taiwan, Province of China
[2] Department of Statistics, Tamkang University, Tamsui, Taipei, Taiwan, Province of China
Source

Applied mathematics and computation. 2005, Vol 162, Num 3, pp 1007-1012, 6 p ; ref : 6 ref

CODEN
AMHCBQ
ISSN
0096-3003
Scientific domain
Control theory, operational research; Computer science; Mathematics
Publisher
Elsevier, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Analyse numérique Estimation erreur Loi normale Mathématiques appliquées Méthode moindre carré Observation aberrante Table donnée
Keyword (en)
Numerical analysis Error estimation Gaussian distribution Applied mathematics Least squares method Outlier Data table
Keyword (es)
Análisis numérico Estimación error Curva Gauss Matemáticas aplicadas Método cuadrado menor Observación aberrante Tabla dato
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02B Mathematical foundations

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02I Numerical analysis. Scientific computation / 001A02I01 Numerical analysis / 001A02I01Q Numerical methods in probability and statistics

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16443587

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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