论文信息 - A mean square error test when stochastic restrictions are used in regression

A mean square error test when stochastic restrictions are used in regression

A test is prepared for determining conditions under which stochastic linear prior information, which is incorrect on the average, may improve the parameter estimates for a linear model over conventional sample information estimates, in the sense of having the same or smaller mean square errors for all estimates.

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