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On experimental designs for derivative random fields /Šimák, Jaroslav. January 2002 (has links)
Freiberg, TU Bergakademie, Diss., 2002.
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On experimental designs for derivative random fieldsSǐmák, Jaroslav. January 2002 (has links) (PDF)
Freiberg (Sachsen), Techn. University, Diss., 2002.
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Nichtparametrische relative EffekteDomhof, Sebastian. January 2001 (has links) (PDF)
Göttingen, Univ., Diss., 2001. / Computerdatei im Fernzugriff.
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Nichtparametrische relative EffekteDomhof, Sebastian. January 2001 (has links) (PDF)
Göttingen, Univ., Diss., 2001. / Computerdatei im Fernzugriff.
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Die Planung von Simulationsexperimenten : Entwicklung und Überprüfung eines Planungsrahmens unter Berücksichtigung von Modell-, Daten- und Rechengenauigkeit /Rachlitz, Bernd. Unknown Date (has links)
Hochsch. für Wirtschafts-, Rechts- und Sozialwiss., Diss., 1993--St. Gallen.
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Nichtparametrische relative EffekteDomhof, Sebastian. January 2001 (has links) (PDF)
Göttingen, Universiẗat, Diss., 2001.
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Zur Quantifizierung und Analyse der Nichtlineariät von RegressionsmodellenSedlacek, Günther January 1998 (has links) (PDF)
In nonlinear regression statistical analysis based upon interpretation of the parameter estimates may be quite different from linear regression. An important point is that for finite samples the least squares estimator (LSE) is not unbiased. nor is it a minimum variance estimator: for nonlinear models, the LSE has these properties under some assumptions only asymptotically and many statistical conclusions are based upon this asymptotic theorie. But there are a lot of nonlinear models where the asymptotic properties are poorly approximated for finite samples. Assessing the nonlinearity can show us if statistical tests the justification of which rests on the assumption of linearity are valid. Better parameterizations and experimental design are good possibilities to reduce the non-neglible nonlinearitv of certain models. A case study shows that experimental design can reduce the nonlinearity considerably. (author's abstract) / Series: Forschungsberichte / Institut für Statistik
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Analyse von Aspekten der internen Validität : die Ermittlung der kleinsten hinreichend grossen Stichprobe bei wissenschaftlichen Experimenten mit Randomisierung /Mittring, Gert. January 2003 (has links)
Köln, Universiẗat, Diss., 2003.
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On the analysis of unreplicated factorial designsChen, Ying. Unknown Date (has links) (PDF)
University, Diss., 2003--Dortmund.
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Modelling varying amplitudesTheis, Winfried. Unknown Date (has links) (PDF)
University, Diss., 2004--Dortmund.
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