Home
    • Login
    View Item 
    •   TDL DSpace Home
    • Federated Electronic Theses and Dissertations
    • Texas Tech University
    • View Item
    •   TDL DSpace Home
    • Federated Electronic Theses and Dissertations
    • Texas Tech University
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    An analytical comparison of several statistical techniques for the prediction of demand

    Thumbnail
    Date
    1965-05
    Author
    Uher, Edward Louis
    Metadata
    Show full item record
    Abstract
    The purpose of this investigation is to compare three generally accepted statistical decision- making techniques with reference to their applicability to the problem of demand prediction» The three techniques are (1) a modified Bayesian Decision-Making procedure, (2) a modified C-Chart procedure, and (3) a Sequential decision procedure which includes the use of the Likelihood-Ratlo Test.This investigation will be confined to the problem of demand prediction which is an Integral part of the over-all problem of provisioning and inventory policies.
    URI
    http://hdl.handle.net/2346/10100
    Collections
    • Texas Tech University

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    TDL
    Theme by @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    TDL
    Theme by @mire NV