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The Analysis of Bootstrap Method in Linear Regression E ff ect
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhu, Jiehan Jing, Ping |
| Copyright Year | 2010 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ccsenet.org/journal/index.php/jmr/article/download/8018/6020 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Bootstrapping (statistics) Coefficient Confidence Intervals Ectomesenchymal Chondromyxoid Tumor Least absolute deviations Linear IgA Bullous Dermatosis Resampling (statistics) Simulation |
| Content Type | Text |
| Resource Type | Article |