IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-981-13-1208-3_19.html
   My bibliography  Save this book chapter

Estimation of Parameters of Misclassified Size Biased Borel Tanner Distribution

In: Advances in Analytics and Applications

Author

Listed:
  • B. S. Trivedi

    (Amrut Mody School of Management, Ahmedabad University)

  • M. N. Patel

    (Gujarat University)

Abstract

Different types of statistical methods are useful in data analysis in the field of science, engineering, medical, etc. In this paper, we have considered a statistical data analysis and estimation of the data by using size biased Borel–Tanner distribution. At the time of classification and analysis, there may arise error, like an observation may be misclassified into different classes or groups. Such type of data is known as misclassified data. Also, when sample units are selected with a probability proportional to the size of the units, the resultant distribution is known as a size biased distribution or weighted distributions. In this paper, we have studied misclassified size biased Borel–Tanner distribution and estimated its parameters by applying the method of maximum likelihood, method of moment, and Bayes’ estimation method. Simulation study has been carried out for comparing the three methods of estimation.

Suggested Citation

  • B. S. Trivedi & M. N. Patel, 2019. "Estimation of Parameters of Misclassified Size Biased Borel Tanner Distribution," Springer Proceedings in Business and Economics, in: Arnab Kumar Laha (ed.), Advances in Analytics and Applications, pages 243-260, Springer.
    • Handle: RePEc:spr:prbchp:978-981-13-1208-3_19
    DOI: 10.1007/978-981-13-1208-3_19
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-981-13-1208-3_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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.