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Rates of convergence in the operator-stable limit theorem
Authors:Makoto Maejima  Svetlozar T Rachev
Institution:(1) Department of Mathematics, Keio University, Hiyoshi, 223 Yokohama, Japan;(2) Department of Statistics and Applied Probability, University of California, 93106 Santa Barabara, California
Abstract:Suppose that the Ropf d -valued random vector theta is strictly operator-stable in the sense that 
$$\hat \mu $$
, the characteristic function of theta, satisfies 
$$\hat \mu (z)^t  = \hat \mu (t^{B*} z)$$
for everyt<0, for some invertible linear operatorB on Ropf d . Suppose also that for the i.i.d. random vectors {X i } in Ropf d , 
$$n^{ - B} \Sigma _{i = 1}^n X_i \xrightarrow{w}\theta $$
. In the present paper, we study the rates of convergence of this operator-stable limit theorem in terms of several probability metrics. A new type of ldquoidealrdquo metrics suitable for this rate-of-convergence problem is introduced.This research was partially supported by NSF, Grant DMS-9103452 and NATO, Grant CRG900798.
Keywords:Operator-stable distributions  probability metrics  rate of convergence
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