- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
-
Prediction in regression models with continuous observations ; day:29 ; month:8 ; year:2023 ; pages:1-25
Statistical papers ; (29.8.2023), 1-25
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00362-023-01465-6
- URN
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urn:nbn:de:101:1-2023110712001788243739
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
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
- Pepelyshev, Andrey
- Žigljavskij, Anatolij Aleksandrovič
- SpringerLink (Online service)
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Improving updating rules in multiplicative algorithms for computing D-optimal designs
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Optimal designs in regression with correlated errors
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Prediction in regression models with continuous observations
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A geometric characterization of c-optimal designs for regression models with correlated observations
Efficient experimental designs for sigmoidal growth models
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Improving updating rules in multiplicative algorithms for computing D-optimal designs
Generalized latin hypercube design for computer experiments
Optimal designs in regression with correlated errors
Design for regression models with correlated errors
Optimal Designs for a Class of Nonlinear Regression Models
Optimal designs for regression models with autoregressive errors structure
Optimal designs for estimating the slope of a regression
Prediction in regression models with continuous observations
Best linear unbiased estimators in continuous time regression models
A geometric characterization of c-optimal designs for regression models with correlated observations
Efficient experimental designs for sigmoidal growth models
NPUA: A new approach for the analysis of computer experiments
Improving updating rules in multiplicative algorithms for computing D-optimal designs
Generalized latin hypercube design for computer experiments
Optimal designs in regression with correlated errors
Design for regression models with correlated errors
Optimal Designs for a Class of Nonlinear Regression Models
Optimal designs for regression models with autoregressive errors structure