IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v49y1995i2p185-245.html
   My bibliography  Save this article

Data features1

Author

Listed:
  • P. L. Davies

Abstract

This article attempts to provide a formal framework for a data based inference which explicitly and consistently recognizes the approximate nature of probability models. It is based on the idea that a stochastic model is adequate if samples generated under the model are very much like the sample actually obtained. The formalization is based on the concept of data feature. Examples are given of applying the ideas to different areas of statistics including location‐scale models, densities, non‐parametric regression, interlaboratory test, auto‐regressive processes and the analysis of variance. The four cornerstones of the approach are direct comparison, approximation, weak topologies and parsimony. The approach is contrasted to that of much of conventional statistics many of whose concepts are pathologically discontinuous with respect to the topology of data analysis and common sense.

Suggested Citation

  • P. L. Davies, 1995. "Data features1," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 49(2), pages 185-245, July.
    • Handle: RePEc:bla:stanee:v:49:y:1995:i:2:p:185-245
    DOI: 10.1111/j.1467-9574.1995.tb01464.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9574.1995.tb01464.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9574.1995.tb01464.x?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:stanee:v:49:y:1995:i:2:p:185-245. 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: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    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.