We have by assumption, E(T)="\\theta"..........(Eq. 1)
Hence, "E(T^2)=Var(T)+(E(T))^2"
Substuting Eq. 1 in above equation we get,
"E(T^2)=Var(T)+\\theta^2".................(Eq. 2)
"\\therefore\\ Var(T)=E(T^2)-\\theta^2" ...........(Eq. 3)
But since Var(T)>0
"\\therefore\\ E(T^2)-\\theta^2>0"
"\\therefore E(T^2)>\\theta^2"
Which means, "E(T^2) \\not=\\theta^2"
Hence we can say that "T^2" is a biased estimator of "\\theta^2."
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