Outlier Detections and Robust Estimation Methods for Nonlinear Regression Model Having Autocorrelated and Heteroscedastic Errors

Outlier Detections and Robust Estimation Methods for Nonlinear Regression Model Having Autocorrelated and Heteroscedastic Errors

The ordinary Nonlinear Least Squares (NLLS) and the Maximum Likelihood Estimator (MLE) techniques are often used to estimate the parameters of nonlinear models. Unfortunately, many researchers are not aware of the consequences of using such estimators when outliers are present in the data. The prob...

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書目詳細資料
主要作者:	Riazoshams, Hossein
格式:	Thesis
語言:	English English
出版:	2010
主題:	Outliers (Statistics) Regression analysis - Mathematical models. Autocorrelation (Statistics)
在線閱讀:	http://psasir.upm.edu.my/id/eprint/19681/1/IPM_2010_13.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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