Article: On the asymptotic properties of LDU-based tests of the rank of a matrix.

Gill and Lewbel recently introduced a test for the rank of a matrix based on the LDU decomposition. Unfortunately, the asymptotic distribution suggested by them is incorrect except in a very limited problem. In general, the asymptotic distribution is that of a highly complicated nonlinear function of a normally distributed random vector that appears to defy useful characterization. The LDU decomposition can be used to produce a valid test asymptotically equivalent to the minimum-[X.sup.2] test.

KEY WORDS: Estimated matrices; Gaussian elimination, Minimum [X.sup.2].

1. INTRODUCTION

In an important paper, Gill and Lewbel (1992), hereafter ...

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