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Adjusting of estimates in general linear model with respect to linear restrictions

Author

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  • Pordzik, Pawe[does not divide] R.

Abstract

Concerning with the general linear model s{;y, X[beta], [sigma]2Vs}; and a set of the linear restrictions Hi[beta] = hi, i = 1, 2,..., which are to be successively incorporated into the model, a recursive formula for the best linear unbiased estimator of a given vendor of estimable parametric functions is derived.

Suggested Citation

  • Pordzik, Pawe[does not divide] R., 1992. "Adjusting of estimates in general linear model with respect to linear restrictions," Statistics & Probability Letters, Elsevier, vol. 15(2), pages 125-130, September.
    • Handle: RePEc:eee:stapro:v:15:y:1992:i:2:p:125-130
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    Cited by:

    1. Jammalamadaka, S. Rao & Sengupta, D., 2007. "Inclusion and exclusion of data or parameters in the general linear model," Statistics & Probability Letters, Elsevier, vol. 77(12), pages 1235-1247, July.

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