Parametereinschätzung bei klassierten Daten. Ein Vergleich konkurrierender Schätzmethoden

Stefan Niermann

Hannover Economic Papers (HEP) from Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Abstract: 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

Pages: 17 pages
Date: 1998-12
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Persistent link: https://EconPapers.repec.org/RePEc:han:dpaper:dp-218

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