文章基本信息

标题：Strong consistency of least squares estimates in multiple regression
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作者：T. L. Lai ; Herbert Robbins ; C. Z. Wei 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：1978
卷号：75
期号：7
页码：3034-3036
DOI：10.1073/pnas.75.7.3034
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：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.
关键词：orthogonal random variables ; double array