The Analysis of Bootstrap Method in Linear Regression Effect

Jiehan Zhu, Ping Jing

Abstract


This paper combines the least squaress estimate, least absolute deviation estimate, least median estimate with Bootstrap
method. When the overall error distribution is unknown or it is not the normal distribution, we estimate the regression coefficient
and confidence interval of coefficient, and through data simulation, obtain Bootstrap method, which can improve
stability of regression coefficient and reduce the length of confidence interval.

Full Text: PDF DOI: 10.5539/jmr.v2n4p64

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This work is licensed under a Creative Commons Attribution 3.0 License.

Journal of Mathematics Research   ISSN 1916-9795 (Print)   ISSN 1916-9809 (Online)

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