Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/78343
Authors: 
Niermann, Stefan
Year of Publication: 
1998
Series/Report no.: 
Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät, Universität Hannover 218
Abstract (Translated): 
This paper considers the problem of parameter estimation when data of a random sample are given in the form of a frequency table. We give special consideration to a method that linearizes the cumulative distribution function. In that case parameters can be derived from the weighted estimation of a linear regression equation. The favourable properties of this estimation technique are demonstrated in a simulation experiment, where the parameters of a two-parameter-Weibull distribution are estimated
Document Type: 
Working Paper

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