Exact optimal designs for weighted least squares analysis with correlated errors
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Classification
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Mathematik
- Event
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Veröffentlichung
- (where)
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Dortmund
- (who)
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Universitätsbibliothek Dortmund
- (when)
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2006
- Creator
- Handle
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2003/22178
- URN
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urn:nbn:de:101:1-201604252315
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:51 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dette, Holger
- Kunert, Joachim
- Pepelyshev, Andrey
- Universitätsbibliothek Dortmund
Time of origin
- 2006
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Exact optimal designs for weighted least squares analysis with correlated errors
Resurrecting weighted least squares
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Weighted-average least squares (WALS): Confidence and prediction intervals
Weighted total least squares solutions for applications in geodesy
The Theory of Errors and Method of Least Squares
Iteratively re-weighted least squares for Sums of Convex Functions
Asymptotic properties of the weighted average least squares (WALS) estimator
Using Weighted Nonlinear Least Squares to Estimate Fish Population Dynamics Models
Least Trimmed Squares
Exact optimal designs for weighted least squares analysis with correlated errors
Resurrecting weighted least squares
Resurrecting weighted least squares
Improving weighted least squares inference
Weighted-Average Least Squares Estimation of Generalized Linear Models
Weighted-average least squares (WALS): Confidence and prediction intervals
Weighted total least squares solutions for applications in geodesy
The Theory of Errors and Method of Least Squares
Iteratively re-weighted least squares for Sums of Convex Functions
Asymptotic properties of the weighted average least squares (WALS) estimator
Using Weighted Nonlinear Least Squares to Estimate Fish Population Dynamics Models