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 Bootstrapmethod. 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:
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- DOI:10.5539/jmr.v2n4p64
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