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Strong Consistency of Least Squares Estimates in Multiple Regression

T. L. Lai, Herbert Robbins and C. Z. Wei
Proceedings of the National Academy of Sciences of the United States of America
Vol. 75, No. 7 (Jul., 1978), pp. 3034-3036
Stable URL: http://www.jstor.org/stable/68164
Page Count: 3
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Strong Consistency of Least Squares Estimates in Multiple Regression
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Abstract

The strong consistency of least squares estimates in multiple regression models with independent errors is obtained under minimal assumptions on the design and weak moment conditions on the errors.

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