Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1167
Title: Representations of moments using lower-order conditional moments
Authors: Wang, Wei 
Yatracos, Yannis G. 
Wang, Wei 
Major Field of Science: Engineering and Technology
Keywords: Variations
Issue Date: 2007
Source: Journal of Statistical Planning and Inference, 2007, vol. 137, no. 1, pp. 299-305.
Volume: 137
Issue: 1
Start page: 229
End page: 305
Journal: Journal of Statistical Planning and Inference 
Abstract: Moments and central moments of a random variable X are expressed as integrals of functions of lower-order conditional moments and the cumulative distribution of X. In particular, sample central moments of order 2 k are expressed as the sum of between groups variations, providing an analogue to the analysis of variance. Similar expressions are obtained for the expectations of real-valued and measurable functions of X.
URI: https://hdl.handle.net/20.500.14279/1167
ISSN: 3783758
DOI: 10.1016/j.jspi.2005.11.001
Rights: © Elsevier
Type: Article
Affiliation: Cyprus University of Technology 
Affiliation : National University of Singapore 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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