ESTIMATES OF REGRESSION PARAMETERS BASED ON RANK TESTS
in terms of certain test statistics. It is shown that the least squares estimates are obtainable as special cases from the general method of estimation discussed. In Section 2, the existence of 'rank score' estimates is proved, and in Section 3, computing techniques are given and illustrated with an example. Both the small sample and asymptotic properties of the estimates are discussed. It is shown, for example, that the joint distribution of the estimates -a and # is symmetric with respect to the parameter point (a, j3)-and hence that -a and 3B are unbiased-if the underlying distribution of the observations is symmetric. In