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dc.contributor.authorWagenvoort, Rienen_US
dc.date.accessioned2011-04-19en_US
dc.date.accessioned2011-04-29T08:06:12Z-
dc.date.available2011-04-29T08:06:12Z-
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/10419/45280-
dc.description.abstractWe extend the paper of Hinloopen and van Marrewijk (2005), who introduce the harmonic mass index to test whether two samples come from the same distribution, in the following directions. Firstly, we derive the Harmonic Weighted Mass (HWM) index for any number of samples. Secondly, this paper shows how to compute the HWM index without making any assumptions on the number of 'ties' (i.e. identical observations) within or between samples. Thirdly, we investigate ties with a Monte Carlo analysis, and find that the critical percentiles as reported in Hinloopen and van Marrewijk (2005), for two samples that are free of ties, are fairly accurate approximations of the HWM percentiles for two samples with ties when the sample size exceeds 50 observations. Furthermore, our results show that these percentiles are fairly accurate as well for cases where there are more than two samples.en_US
dc.language.isoengen_US
dc.publisherEuropean Investment Bank Luxembourgen_US
dc.relation.ispartofseriesEconomic and financial reports / European Investment Bank 2006/03en_US
dc.subject.jelC12en_US
dc.subject.jelC14en_US
dc.subject.ddc330en_US
dc.titleComparing distributions: the harmonic mass index: extension to m samplesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn65663314Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
Appears in Collections:Economic and Financial Reports, European Investment Bank (EIB)

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