• Register
  • Login

Recent Advances in Mathematical Research and Computer Science Vol. 4

  • Home
  • About
  • Books
  • Testimonials
  • Editors
  • Charges
  • Submission
  • Contact
  • Current
  • Archives
  • About
    • About the Journal
    • Submissions
    • Privacy Statement
Advanced Search
  1. Home
  2. Books
  3. Recent Advances in Mathematical Research and Computer Science Vol. 4
  4. Chapters


Study on Generalized Exponential Type Estimators for Ratio of Two Population Means Using Auxiliary Attribute in the Presence of Non-response

  • Kamlesh Kumar
  • Sunit Kumar
  • Anupam Kumar

Recent Advances in Mathematical Research and Computer Science Vol. 4, 12 November 2021 , Page 31-41
https://doi.org/10.9734/bpi/ramrcs/v4/4664F Published: 2021-11-12

  • View Article
  • Cite
  • Share

Abstract

In this paper, generalized exponential type estimators for the ratio of two population means using auxiliary attribute in the presence of non-response, have been proposed. The expressions for the mean square error of the proposed estimators are obtained up to the first order of approximation. Some particular cases of the proposed estimators are also given. The conditions, under which the proposed estimators do better in comparison to the relevant estimators, are obtained.  An empirical study using a real data set is also given to judge the performance of the proposed estimators.  The aim of this paper is to find the estimators which are more efficient than the conventional estimator and exponential type estimators for ratio of two population means in the presence of non-response.

Keywords:
  • Auxiliary attribute
  • mean square error
  • non-response
  • study characters

How to Cite

Kumar, K. ., Kumar, S. ., & Kumar, A. . (2021). Study on Generalized Exponential Type Estimators for Ratio of Two Population Means Using Auxiliary Attribute in the Presence of Non-response. Recent Advances in Mathematical Research and Computer Science Vol. 4, 31–41. https://doi.org/10.9734/bpi/ramrcs/v4/4664F
  • ACM
  • ACS
  • APA
  • ABNT
  • Chicago
  • Harvard
  • IEEE
  • MLA
  • Turabian
  • Vancouver
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX
  • Linkedin
  • Twitter
  • Facebook
  • WhatsApp
  • Telegram

© B P International