The purpose of this monograph is to test some of the CER's in the Unmanned Spacecraft Cost Model for non-constant error variances, or heteroskedasticity, and to take corrective statistical action if and where the problem is found. The Unmanned Spacecraft Cost Model is a set of regression equations or Cost Estimating Relationships (CER's) designed to explain the costs of spacecraft subsystems, such as electrical power supplies, apogee kick motors, and communication electronics. Technical and performance characteristics are used to explain costs, with the model based on 35 military, communications, weather, experimental, and lunar-probe spacecraft. The model presents equations for explaining both first-unit recurring costs and total nonrecurring costs, using 'normalized' and 'unnormalized' data. This paper, the first of five statistical monographs on the spacecraft model.


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    Title :

    Statistical Improvements in the Unmanned Spacecraft Cost Model - Monograph 1


    Contributors:
    B. Flynn (author)

    Publication date :

    1985


    Size :

    26 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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