Sometimes Pooled Testimation in the Inverse Gaussian Model for measure of Dispersion

Authors

  • G. Prakash Evaluation Division, State Planning Institution, Lucknow, U. P., India.
  • D. C. Singh Department of Statistics, Harish Chandra P. G. College, Varanasi, U. P., India

DOI:

https://doi.org/10.3329/jsr.v2i1.2809

Keywords:

Sometimes pool estimator, Level of significance, Relative bias, Relative efficiency and Effective interval.

Abstract

This paper suggests sometimes pool estimators for the measure of dispersion in the inverse Gaussian distribution and their properties are studied in terms of the relative bias and relative efficiency under two different loss functions.

 

Keywords: Sometimes pool estimator; Level of significance; Relative bias; Relative efficiency; Effective interval.

 

© 2010 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.

 

DOI: 10.3329/jsr.v2i1.2809                 J. Sci. Res. 2 (1), 77-86 (2010)

 

Downloads

Download data is not yet available.
Abstract
685
PDF
520

Author Biographies

G. Prakash, Evaluation Division, State Planning Institution, Lucknow, U. P., India.

Evaluation Division, State Planning Institution, Lucknow, U. P., India.

D. C. Singh, Department of Statistics, Harish Chandra P. G. College, Varanasi, U. P., India

D. C. Singh

Department of Statistics, Harish Chandra P. G. College, Varanasi, U. P., India

E-Mail: dc_singh52@rediff.com

Downloads

Published

2009-12-26

How to Cite

Prakash, G., & Singh, D. C. (2009). Sometimes Pooled Testimation in the Inverse Gaussian Model for measure of Dispersion. Journal of Scientific Research, 2(1), 77–86. https://doi.org/10.3329/jsr.v2i1.2809

Issue

Vol. 2 No. 1 (2010)

Section

Section A: Physical and Mathematical Sciences

License

© Journal of Scientific Research

Creative Commons License

Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.