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.
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