Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1093/biomet/83.4.899|
|Google Scholar:||Look up in Google Scholar|
In the context of recent interest in extending scalar association measures to local association functions, attention is drawn to the local dependence function, the mixed partial derivative of the log density, proposed by Holland & Wang (1987). We provide an alternative motivation to that provided by Holland & Wang. We also describe a few basic properties of the local dependence function, and indicate how it may be estimated from data.
|Item Type:||Journal Article|
|Copyright Holders:||1996 Biometrika Trust|
|Keywords:||association; bivariate distribution; correlation; kernel smoothing|
|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:||14 Apr 2011 10:42|
|Last Modified:||04 Oct 2016 10:50|
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