On Sample Size in Using Central Limit Theorem for Gamma Distribution
- Author
- CHANG, Horng-Jinh1 ; WU, Chao-Hsien2 ; HO, Jow-Fei2 ; CHEN, Po-Yu2
[1] Asia University, China
[2] Tamkang University, China - Source
International journal of information and management sciences. 2008, Vol 19, Num 1, pp 153-174, 22 p ; ref : 5 ref
- ISSN
- 1017-1819
- Scientific domain
- Control theory, operational research
- Publisher
- Tamkang University, Graduate Institute of Management Sciences, Taipei
- Publication country
- Taiwan, Province of China
- Document type
- Article
- Language
- English
- Author keyword
- Central Limit Theorem Gamma Distribution Normality Test Sample Mean Sample Size Shapiro-Wilk W Test
- Keyword (fr)
- Asymétrie Loi gamma Loi probabilité Simulation ordinateur Taille échantillon Test normalité Théorème central limite
- Keyword (en)
- Asymmetry Gamma distribution Probability distribution Computer simulation Sample size Normality test Central limit theorem
- Keyword (es)
- Asimetría Ley gama Ley probabilidad Simulación computadora Tamaño muestra Test normalidad Teorema central límite
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science
- Discipline
- Mathematics Operational research. Management
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20333206
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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