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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書目詳細資料
主要作者:	Uraibi, Hassan Sami
格式:	Thesis
語言:	English English
出版:	2009
主題:	Algorithms
在線閱讀:	http://psasir.upm.edu.my/id/eprint/7237/1/IPM_2009_2a.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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