14 On the strong consistency of M-estimates in linear models under a general discrepancy function-Reference-Cited by-同舟云学术

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14 On the strong consistency of M-estimates in linear models under a general discrepancy function

Published:1993 Issue: Volume: Page:381-391
ISSN:0169-7161
Container-title:Handbook of Statistics
language:
Short-container-title:

Author:

Bai Z.D.,Liu Z.J.,Rao C. Radhakrishna

Publisher

Elsevier

Reference21 articles.

1. Joint asymptotic distribution of marginal quantile function in samples from a multivariate population;Babu;J. Multivariate Anal.,1988

2. Asymptotic theory of least distance estimates in multivariate analysis;Bai;Statistics,1990

3. Asymptotic normality of minimum L1-norm estimates in linear models;Bai,1987

4. M-estimation of multivariate linear regression parameters under a convex discrepancy function;Bai;Statistica Sinica,1992

5. Least absolute deviations analysis of variance;Bai;Sankhyā,1990

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