Faddy, M. F. and Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1111/1467-9876.00151|
|Google Scholar:||Look up in Google Scholar|
Two recent examples of data from statistical consulting work form the basis of this paper. Both data sets arose from situations where temporal decay was expected, and different models for this are discussed, in particular, variants on simple exponential decay: hyperexponential (or mixed exponential) decay and models based on differential equations. Nonparametric estimation, using local quadratic smoothing of the data, of components of these models is discussed and employed to help to check the appropriateness or otherwise of existing parametric analyses of the data. In one example, the suitability of the parametric analysis is confirmed; in the other, the parametric assumptions made at the time are shown to have some flaws, and an improved parametric analysis is provided.
|Item Type:||Journal Article|
|Copyright Holders:||1999 Royal Statistical Society|
|Keywords:||Differential equations; hyperexponential; local quadratic smoothing; nonparametric estimation; saddlepoint approximation; temporal decay|
|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:||20 Apr 2011 14:21|
|Last Modified:||04 Oct 2016 10:46|
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