Jones, M. C. and Bradbury, I. S.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1007/BF00146953|
|Google Scholar:||Look up in Google Scholar|
We identify a role for smooth curve provision in the finite population context. The performance of kernel density estimates in this scenario is explored, and they are tailored to the finite population situation especially by developing a method of data-based selection of the smoothing parameter appropriate to this problem. Simulated examples are given, including some from the particular context of permutation distributions which first motivated this investigation.
|Item Type:||Journal Article|
|Copyright Holders:||1993 Chapman & Hall|
|Keywords:||bandwidth selection; curve estimation; kernel density estimation; permutation distribution; simple random sampling|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sarah Frain|
|Date Deposited:||24 Mar 2011 13:02|
|Last Modified:||04 Oct 2016 11:01|
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