2009
DOI: 10.1111/j.1365-2966.2009.14577.x
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Estimators for the exponent and upper limit, and goodness-of-fit tests for (truncated) power-law distributions

Abstract: Many objects studied in astronomy follow a power‐law distribution function (DF), for example the masses of stars or star clusters. A still used method by which such data is analysed is to generate a histogram and fit a straight line to it. The parameters obtained in this way can be severely biased, and the properties of the underlying DF, such as its shape or a possible upper limit, are difficult to extract. In this work, we review techniques available in the literature and present newly developed (effectively… Show more

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Cited by 66 publications
(70 citation statements)
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“…In order to determine a mass function for each set of starless cores in our sample, we analysed the cumulative distribution functions of starless core masses for each region in Cepheus, using the maximum likelihood estimator for an infinite power-law distribution (Koen 2006;Maschberger & Kroupa 2009). Throughout the following discussion we assume that the masses of cores can be modelled by a powerlaw function,…”
Section: Discussion Of Derived Propertiesmentioning
confidence: 99%
“…In order to determine a mass function for each set of starless cores in our sample, we analysed the cumulative distribution functions of starless core masses for each region in Cepheus, using the maximum likelihood estimator for an infinite power-law distribution (Koen 2006;Maschberger & Kroupa 2009). Throughout the following discussion we assume that the masses of cores can be modelled by a powerlaw function,…”
Section: Discussion Of Derived Propertiesmentioning
confidence: 99%
“…Bik et al 2003; Whitmore et al 2010; Chandar et al , 2011, while others say there must be a truncation in the high mass end, best fit by a Schechter function (e.g. Larsen 2009;Gieles et al 2006b;Maschberger & Kroupa 2009). In the latter case, the fit is characterised by a power law at low masses with a truncation at the high mass end and a characteristic truncation mass that varies depending on galactic environment.…”
Section: Cluster Population Propertiesmentioning
confidence: 99%
“…We attempted to ameliorate this issue by also analysing the cumulative distribution function of core masses using the maximum likelihood estimator for an infinite power-law distribution (Koen 2006;Maschberger & Kroupa 2009), calculated over the same mass range (M 0.2M ). The cumulative distribution and fits are shown in Figure 7.…”
Section: Source Mass Distributionmentioning
confidence: 99%