
A Note on the Construction of a Sample Variance
Abstract
Mukhopadhyay and Chattopadhyay (2013) proposed a new approach to construct unbiased estimators of by U-statistics starting with a class of non-symmetric initial kernels of degree m(> 2): But, surprisingly all symmetrized final estimators in the form of U-statistics reduced to
when the parent distribution function (d.f.) F remained unknown. Now, we exhibit another class of non-symmetric initial kernels to come up with U-statistics of degree m(> 2) and unbiased for
: Interestingly, the associated symmetrized final U-statistics again coincide with
(Theorem 2.1), settling the open question from Remark 3.1 of Mukhopadhyay and Chattopadhyay (2013).
© 2014 Nitis Mukhopadhyay, Bhargab Chattopadhyay, published by The Institute of Applied Statistics, Sri Lanka
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