(i) Let X = (X1,...,Xn) have probability density (1/n)f[(x1 )/, . . . , (xn )/],...
Question:
(i) Let X = (X1,...,Xn) have probability density (1/θn)f[(x1−
ξ)/θ, . . . , (xn − ξ)/θ], where −∞ <ξ< ∞, 0 < θ are unknown, and where f is even. The problem of testing f = f0 against f = f1 remains invariant under the transformations x i = axi+b (i = 1,...,n), a = 0, −∞
and the most powerful invariant test is given by the rejection region
∞
−∞
∞
0 vn−2 f1(vx1 + u, . . . , vxn + u) dv du
> C ∞
−∞
∞
0 vn−2 f0(vx1 + u, . . . , vxn + u) dv du.
(ii) Let X = (X1,...,Xn) have probability density f(x1−k j=1 w1jβj ,...,xn− k j=1 wnjβj ) where k (wij ) is of rank k, the β’s are unknown, and we wish to test f = f0 against f = f1. The problem remains invariant under the transformations x i = xi + Σk j=1wijγj , −∞ < γ1,...,γk < ∞, and the most powerful invariant test is given by the rejection region ··· f1(x1 − w1jβj ,...,xn − wnjβj )dβ1, . . . , dβk ··· f0(x1 − w1jβj ,...,xn − wnjβj )dβ1, . . . , dβk > C. [A maximal invariant is given by y = x1 − n r=n−k+1 a1r xr, x2 − n r=n−k+1 a2r xr,...,xn−k − n r=n−k+1 an−k,rxr for suitably chosen constants air.]
Step by Step Answer:
Testing Statistical Hypotheses
ISBN: 9781441931788
3rd Edition
Authors: Erich L. Lehmann, Joseph P. Romano