2013
DOI: 10.1007/s10509-013-1402-9
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A graphical analysis of the systematic error of classical binned methods in constructing luminosity functions

Abstract: The classical 1/V a and P C methods of constructing binned luminosity functions (LFs) are revisited and compared by graphical analysis. Using both theoretical analysis and illustration with an example, we show why the two methods give different results for the bins which are crossed by the flux limit curves L = L lim (z). Based on a combined sample simulated by a Monte Carlo method, the estimate φ of two methods are compared with the input model LFs. The two methods give identical and ideal estimate for the hi… Show more

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Cited by 13 publications
(15 citation statements)
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“…It can be statistical error caused by inappropriately dividing redshift bins. As discussed by Yuan & Wang (2013), the estimated result of the binning method relies on how to chose the start point and width of each bin.…”
Section: Luminosity-dependent Evolutionmentioning
confidence: 99%
“…It can be statistical error caused by inappropriately dividing redshift bins. As discussed by Yuan & Wang (2013), the estimated result of the binning method relies on how to chose the start point and width of each bin.…”
Section: Luminosity-dependent Evolutionmentioning
confidence: 99%
“…Yuan & Wang (2013) argued that this may lead to significant bias for the LF estimates close to the flux limit (see panel a of Figure 4). In this work we use the simple rule of thumb suggested by Yuan & Wang (2013) to divide bins. In the panel b of Figure 4, we illustrate this scheme for dividing bins.…”
Section: The Fixed Bandwidth Kde Resultsmentioning
confidence: 99%
“…This makes it impossible for the 1/V max method to be a mathematically rigorous density estimator. The 1/V max estimator can not accurately calculate the surveyed regions for objects close to the flux limit of their parent sample and thus produces a significant systematic error (see Page & Carrera 2000;Yuan & Wang 2013). To improve the 1/V max estimator, Page & Carrera (2000) proposed a new method that rests on a stronger mathematical foundation.…”
Section: Comparison With Previous Methodsmentioning
confidence: 99%
“…Notably, Ref. [36] argued that both the and the binned approximation can produce bias at the faint end of the LF due to the arbitrary choosing of redshift and luminosity intervals.…”
Section: The Luminosity Function For Qsosmentioning
confidence: 99%