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...

書誌詳細
第一著者:	Riazoshams, Hossein
フォーマット:	学位論文
言語:	英語英語
出版事項:	2010
主題:	Outliers (Statistics) Regression analysis - Mathematical models. Autocorrelation (Statistics)
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/19681/1/IPM_2010_13.pdf

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