IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v23y1974i3p355-371.html
   My bibliography  Save this article

Estimating Markov Transition Probabilities from Micro‐Unit Data

Author

Listed:
  • Lyndhurst Collins

Abstract

The standard method of deriving maximum‐likelihood estimates for transition probability matrices is outlined. Statistical tests for determining the Markov property, the specific order of a chain and the homogeneity of a set of matrices are applied to data relating to manufacturing establishments. Refinements to the maximum‐likelihood procedure are examined in the context of fractional disaggregation of long‐period matrices and in the framework of fitting smoothing surfaces to observed transition probabilities.

Suggested Citation

  • Lyndhurst Collins, 1974. "Estimating Markov Transition Probabilities from Micro‐Unit Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 23(3), pages 355-371, November.
    • Handle: RePEc:bla:jorssc:v:23:y:1974:i:3:p:355-371
    DOI: 10.2307/2347128
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347128
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347128?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:bla:jorssc:v:23:y:1974:i:3:p:355-371. 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://edirc.repec.org/data/rssssea.html .

    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.