Nonparametric test for detecting change in distribution with panel data

Details Nonparametric test for detecting change in distribution with panel data Nonparametric test for detecting change in distribution with panel data

2011-05-01

arxiv.org/abs/1105.0205v1

Mathematics

Statistics Theory

Scientific paper

This paper considers the problem of comparing two processes with panel data. A nonparametric test is proposed for detecting a monotone change in the link between the two process distributions. The test statistic is of CUSUM type, based on the empirical distribution functions. The asymptotic distribution of the proposed statistic is derived and its finite sample property is examined by bootstrap procedures through Monte Carlo simulations.

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