IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v32y2005i1p61-74.html
   My bibliography  Save this article

Change-point estimation in a multinomial sequence and homogeneity of literary style

Author

Listed:
  • Alex Riba
  • Josep Ginebra

Abstract

To help settle the debate around the authorship of Tirant lo Blanc, all the words in each chapter of that book are categorized according to their length and the appearance of various words is counted. The graphical exploration of the sequences of multinomial observations obtained reveals a clear single sudden change point that is consistently estimated to be between chapters 371 and 382 and might indicate a switch of author. Correspondence analysis indicates that at the end of the book the words tend to be longer and the frequency of various words changes significantly. By doing a cluster analysis of the multinomial observations, the evidence in favor of the existence of that stylistic boundary is strengthened, because the two clusters obtained match very closely the before and after change-point groups; only a few chapters at the end of the book appear to be misclassified by the change point.

Suggested Citation

  • Alex Riba & Josep Ginebra, 2005. "Change-point estimation in a multinomial sequence and homogeneity of literary style," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(1), pages 61-74.
  • Handle: RePEc:taf:japsta:v:32:y:2005:i:1:p:61-74
    DOI: 10.1080/0266476052000330295
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/0266476052000330295
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0266476052000330295?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oliver Johnson & Dino Sejdinovic & James Cruise & Robert Piechocki & Ayalvadi Ganesh, 2014. "Non-Parametric Change-Point Estimation using String Matching Algorithms," Methodology and Computing in Applied Probability, Springer, vol. 16(4), pages 987-1008, December.
    2. Alex Riba & Josep Ginebra, 2006. "Diversity of vocabulary and homogeneity of literary style," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(7), pages 729-741.
    3. Xavier Puig & Josep Ginebra & Marti Font, 2010. "The Sichel model and the mixing and truncation order," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1585-1603.

    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:taf:japsta:v:32:y:2005:i:1:p:61-74. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.