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

Authors

  • Kamlesh Kumar Department of Statistics, Central University of South Bihar, Gaya, Bihar, India.
  • Sunit Kumar Department of Statistics, Central University of South Bihar, Gaya, Bihar, India.
  • Anupam Kumar Department of Statistics, PUC, Mizoram University, Aizawl, Mizoram, India.

DOI:

https://doi.org/10.9734/bpi/ramrcs/v4/4664F

Keywords:

Auxiliary attribute, mean square error, non-response, study characters

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.

Published

2021-11-12

How to Cite

Kamlesh Kumar, Sunit Kumar, & Anupam Kumar. (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

Issue

Recent Advances in Mathematical Research and Computer Science Vol. 4

Section

Chapters