Joint Generalized Least Squares is an extension of least squares techniques which decreases statistical uncertainty in derived regression equations. The technique is applied to historical costs for airframes, avionics, and engines in fighter aircraft. A comparison is made of parametric cost estimating relationships derived using ordinary and Joint Generalized Least Squares to demonstrate reductions in statistical uncertainty.


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    Title :

    Joint Generalized Least Squares Applied to Cost Estimation for Fighter Aircraft


    Contributors:

    Publication date :

    1974


    Size :

    103 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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