Robust estimation of a nonliner regression model hybrid of a new forward search algorithmand bootstrap.
Abstract (We develop a robust estimation procedure for nonlinear regression models with contaminated data. A simulation study that considers misspecification error, structural change, and contamination from a different model was designed to compare the method with standard nonlinear least squares u...
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| Format: | Thesis |
| Language: | English |
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Quezon City
University of the Philippines
2016.
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