DocumentCode :
2337566
Title :
Method of weighted moments
Author :
Hu, Hongchang
Author_Institution :
Sch. of Math. & Stat., Hubei Normal Univ., Huangshi, China
fYear :
2012
fDate :
3-5 June 2012
Firstpage :
455
Lastpage :
458
Abstract :
In order to estimate unknown parameters in probability function, we introduce a method of weighted moments(MWM), and discuss some properties of weighted moments estimators. The method not only extend the usual method of moments(MM), but also its estimators possess robustness. In addition, we provide the generalized chi squared distribution χ2(n, μi σ2i) At last, the validity of method is illuminated by the simulating example.
Keywords :
method of moments; parameter estimation; probability; MWM; generalized chi squared distribution; method of weighted moments; probability function; unknown parameter estimation; weighted moments estimator; Density functional theory; Maximum likelihood estimation; Moment methods; Probability; Robots; Robustness; Generalized χ2(n, μi σ2i) distribution; Method of weighted moments; Weighted mean; Weighted variance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
Type :
conf
DOI :
10.1109/ISRA.2012.6219223
Filename :
6219223
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2337566
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