A note on the asymptotic normality of the kernel deconvolution density estimator with logarithmic chi-square noise
This paper studies the asymptotic normality for the kernel deconvolution estimator when the noise distribution is logarithmic chi-square; both identical and independently distributed observations and strong mixing observations are considered. The dependent case of the result is applied to obtain the...
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| Format: | Article |
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MDPI
2015
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| Online Access: | https://eprints.nottingham.ac.uk/45844/ |