Arbeitspapier
A comparison of sequential and non-sequential designs for discrimination between nested regression models
- Sprache
-
Englisch
- Erschienen in
-
Series: Technical Report ; No. 2002,31
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dette, Holger
Kwiecien, Robert
- Ereignis
-
Veröffentlichung
- (wer)
-
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (wo)
-
Dortmund
- (wann)
-
2002
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Dette, Holger
- Kwiecien, Robert
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Entstanden
- 2002
Ähnliche Objekte (12)
Finite sample performance of sequential designs for model identification
A comparison of sequential and non sequential designs for discrimination between nested regression models
A new approach for open‐end sequential change point monitoring
New aspects of sequential change point detection
Optimal Discrimination Designs for Exponential Regression Models
Optimal discrimination designs
Testing strict monotonicity in nonparametric regression
Estimating a convex function in nonparametric regression
A power comparison between nonparametric regression tests
Optimal experimental designs for inverse quadratic regression models
Nonparametric comparison of regression curves - an empirical process approach
Optimal designs for estimating the slope of a regression
Finite sample performance of sequential designs for model identification
A comparison of sequential and non sequential designs for discrimination between nested regression models
A new approach for open‐end sequential change point monitoring
New aspects of sequential change point detection
Optimal Discrimination Designs for Exponential Regression Models
Optimal discrimination designs
Testing strict monotonicity in nonparametric regression
Estimating a convex function in nonparametric regression
A power comparison between nonparametric regression tests
Optimal experimental designs for inverse quadratic regression models
Nonparametric comparison of regression curves - an empirical process approach
Optimal designs for estimating the slope of a regression
Finite sample performance of sequential designs for model identification
A comparison of sequential and non sequential designs for discrimination between nested regression models
A new approach for open‐end sequential change point monitoring
New aspects of sequential change point detection
Optimal Discrimination Designs for Exponential Regression Models
Optimal discrimination designs
Testing strict monotonicity in nonparametric regression
Estimating a convex function in nonparametric regression
A power comparison between nonparametric regression tests
Optimal experimental designs for inverse quadratic regression models
Nonparametric comparison of regression curves - an empirical process approach