IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v39y1990i1p1-19.html
   My bibliography  Save this article

A Matrix Regression Model for the Transition Probabilities in a Finite State Stochastic Process

Author

Listed:
  • Chris Robertson

Abstract

In psychology, the free‐recall experiment is used to investigate the organization of items in memory. A model is introduced to describe the ordinal features of the responses to this experiment. This is essentially a model of the transition probabilities in a finite state stochastic process in discrete time. A matrix regression model is introduced to investigate the effects of various factors on organization. Simulation techniques are used to assess the goodness of fit of the model and to test hypotheses about the model parameters. Finally components of the log‐likelihood are used as diagnostic tools to check that there are no outliers. An example involving the recall of personalities' names is considered.

Suggested Citation

  • Chris Robertson, 1990. "A Matrix Regression Model for the Transition Probabilities in a Finite State Stochastic Process," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(1), pages 1-19, March.
    • Handle: RePEc:bla:jorssc:v:39:y:1990:i:1:p:1-19
    DOI: 10.2307/2347807
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347807
    Download Restriction: no
    File URL: https://libkey.io/10.2307/2347807?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:39:y:1990:i:1:p:1-19. 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.