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《非实验数据下独立性公理的后验概率(或:系紧安全带并扇形展开)》评论
Steven Garber, Mark Kamlet, [Posterior Probabilities of the Independence Axiom with Nonexperimental Data (Or Buckle up and Fan out)]: Comment, Journal of Business & Economic Statistics, Vol. 10, No. 1 (Jan., 1992), pp. 44-48
经典正态测量误差模型的扩展
IT IS WELL KNOWN that least-squares estimates of the coefficients of a regression equation are inconsistent if any of the regressors are measured with error. The nature of these inconsistencies has been examined by Aigner [1], Blomqvist [2], Chow [3], Levi [5], McCallum [6], and Wickens [10] for the case in which a single regressor is subject to measurement error. The purpose of this study is to examine the nature of these inconsistencies when more than one variable is…