The Annals of Mathematical Statistics
- Ann. Math. Statist.
- Volume 42, Number 4 (1971), 1328-1338.
Nonparametric Estimate of Regression Coefficients
The present investigation is a follow up of  to a class of multiple regression problems, and is devoted to the construction of an estimate of regression parameter vector based on suitable rank statistics. Asymptotic linearity of these rank statistics in the multiple regression set up is established and the asymptotic multi-normality of the derived estimates is deduced. There exists the choice of the score-generating function to every basic distribution so that the asymptotic distribution of the estimates is the same as that of maximal-likelihood estimates.
Ann. Math. Statist., Volume 42, Number 4 (1971), 1328-1338.
First available in Project Euclid: 27 April 2007
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Jureckova, Jana. Nonparametric Estimate of Regression Coefficients. Ann. Math. Statist. 42 (1971), no. 4, 1328--1338. doi:10.1214/aoms/1177693245. https://projecteuclid.org/euclid.aoms/1177693245