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Wallace's Weak Mean Square Error Criterion for Testing Linear Restrictions in Regression: A Tighter Bound

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  • Yancey, T A
  • Judge, G G
  • Bock, M E

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  • Yancey, T A & Judge, G G & Bock, M E, 1973. "Wallace's Weak Mean Square Error Criterion for Testing Linear Restrictions in Regression: A Tighter Bound," Econometrica, Econometric Society, vol. 41(6), pages 1203-1206, November.
    • Handle: RePEc:ecm:emetrp:v:41:y:1973:i:6:p:1203-06
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    Cited by:

    1. Weaver, Robert D., 1979. "Survey of Promising Developments in Supply Response: Pre- and Post-Data Econometric Methods for Integration of Neo-Classical Theory with Sample Evidence," Staff Paper Series 256836, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    2. Min, Aleksey & Holzmann, Hajo & Czado, Claudia, 2010. "Model selection strategies for identifying most relevant covariates in homoscedastic linear models," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3194-3211, December.
    3. Lee C. Adkins & R. Carter Hill & Bob Russell, 1991. "A Primer on the Use of Canonical Forms and Transformations in the Linear Regression Model," The American Economist, Sage Publications, vol. 35(1), pages 40-51, March.
    4. R. Carter Hill & S. R. Johnson, 1978. "Principal Components Estimators and Restricted Least Squares—An Alternative Perspective," The American Economist, Sage Publications, vol. 22(2), pages 35-39, October.

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