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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 1977 Jul;74(7):2667–2669. doi: 10.1073/pnas.74.7.2667

Strong consistency of least-squares estimates in regression models

T L Lai 1, Herbert Robbins 1
PMCID: PMC431237  PMID: 16592416

Abstract

A general theorem on the limiting behavior of certain weighted sums of i.i.d. random variables is obtained. This theorem is then applied to prove the strong consistency of least-squares estimates in linear and nonlinear regression models with i.i.d. errors under minimal assumptions on the design and weak moment conditions on the errors.

Keywords: wide-sense martingales

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