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Dieser Artikel gibt einen Überblick über die Problematik fehlender Daten im Rahmen der statistischen Datenanalyse. Im Prinzip sollte er auch Lesern mit geringem mathematischen und statistischen Wissen dienlich sein und sie mathematisch nicht überfordern. Gegebenenfalls kann über allzu...
Persistent link: https://www.econbiz.de/10010266153
Abstract In almost all life or social science researches, subjects are classified into categories by raters, interviewers or observers. Many approaches have been proposed by various authors for analyzing the data or the results obtained from these raters. Symmetry and conditional symmetry models...
Persistent link: https://www.econbiz.de/10010266154
Agreement can be regarded as a special case of association and not the other way round. Virtually in all life or social science researches, subjects are being classified into categories by raters, interviewers or observers and both association and agreement measures can be obtained from the...
Persistent link: https://www.econbiz.de/10010266189
The Poisson distribution has been widely used for modelling rater agreement using loglinear models. Mostly in all life or social science researches, subjects are being classified into categories by rater, interviewers or observers and most of these tables indicate that the cell counts are...
Persistent link: https://www.econbiz.de/10010267056
This paper presents a general loss function under quadratic loss structure and discusses the comparison of risk functions associated with the unbiased least squares and biased Stein-rule estimators of the coefficients in a linear regression model.
Persistent link: https://www.econbiz.de/10010276839
The risk of the family of feasible generalized double k-class estimators under LINEX loss function is derived in a linear regression model. The disturbances are assumed to be non-spherical and their variance covariance matrix is unknown.
Persistent link: https://www.econbiz.de/10010276843
Persistent link: https://www.econbiz.de/10003780993
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Persistent link: https://www.econbiz.de/10003498490
This paper presents a general loss function under quadratic loss structure and discusses the comparison of risk functions associated with the unbiased least squares and biased Stein-rule estimators of the coefficients in a linear regression model.
Persistent link: https://www.econbiz.de/10003395321