IDEAS home Printed from https://ideas.repec.org/a/wly/navlog/v28y1981i1p133-145.html
   My bibliography  Save this article

Stochastic models for spread of motivating information

Author

Listed:
  • Menachem Berg

Abstract

In this work we consider spread of information which motivates the hearer to perform some specified action. The time to completion of an action is assumed to be a random variable and the main focus is on the number of completed actions by time t, X(t). Some models, which reflect different degree of centralization in the spread process, are analyzed and the distribution of X(t), as well as that of some other stochastic processes of interest, are obtained. The relevance to propagation of epidemics is pointed out. All models are solved by employing two interrelated concepts, namely, the order statistics property of stochastic processes and the binomial closure property of collections of distributions. In this respect, the work also serves as an illustration of the application of these useful concepts.

Suggested Citation

  • Menachem Berg, 1981. "Stochastic models for spread of motivating information," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 28(1), pages 133-145, March.
  • Handle: RePEc:wly:navlog:v:28:y:1981:i:1:p:133-145
    DOI: 10.1002/nav.3800280110
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/nav.3800280110
    Download Restriction: no

    File URL: https://libkey.io/10.1002/nav.3800280110?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:navlog:v:28:y:1981:i:1:p:133-145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1931-9193 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.