Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

The Ordinary Least Squares (OLS) method is often used to estimate the parameters of a linear model. Under certain assumptions, the OLS estimates are the best linear unbiased estimates. One of the important assumptions of the linear model is that the error terms are normally distributed. Unfortunatel...

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书目详细资料
主要作者:	Uraibi, Hassan Sami
格式:	Thesis
语言:	English English
出版:	2009
主题:	Algorithms
在线阅读:	http://psasir.upm.edu.my/id/eprint/7237/1/IPM_2009_2a.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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