Using bootstrap method in analyzing the factors affecting study result of HCMUTE student
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nhunghn@hcmute.edu.vnKeywords:
bootstrap method, the bootstrap-t interval, hypothesis testing with the boot strapAbstract
Bootstrap is a modern statistical method and has been used widely because it doesn’t require emperical distribution function as classcical methods do. This article will focus on demonstration of bootstrap method and the use of this approach to analyze the factors which affected on the study results of students of HCMC University of Technology and Education. Then conclusion shall be stated basing on data analysis process.
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References
A.C. Davidson and D.V.Hinkley. Bootstrap methods and their Application. Cambridge Series in Statistical and Probabilistic Mathematics, page141, (1997).
Bradley Efron. An Introduction to the Bootstrap. Chapman & Hall/CRC, Inc., Publication, page 160. (1994).
Michael R. Chernick, Robert A. LaBudde. An introduction to bootstrap methods with applications to R . Wiley, New Jersey. (2011).
Rochowicz, John A. Jr. Bootstrapping Analysis, Inferential Statistics and EXCEL. Spreadsheets in Education (eJSiE): Vol. 4: Iss.3, Article 4 (2011).
Wendy L. Martinez, Angel R. Martinez. Computational Statistic Handbook with Matlab. Chapman&Hall/CLC Boca Raton London New York Washington, D.C (2002).
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