Ratio Estimator in Stratified Random Sampling Using Hodges Lehmann as auxiliary information

DR Showkat Maqbool , Mir Sabzar , mushtaq a bhat

Hodges Lehmann; Ratio-type estimators; stratified sampling; Mean square error; Efficiency.

The present study was taken into consideration to propose new modified Ratio estimator in stratified random sampling using the auxiliary information of Hodges Lehmann. The properties associated with the proposed estimators are assessed by mean square error and bias. We also provide the Numerical example to support the theoretical results.

Published Paper   E-Certificate

"Ratio Estimator in Stratified Random Sampling Using Hodges Lehmann as auxiliary information", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.2, Issue 6, page no.1-3, August-2017, Available :https://ijnrd.org/papers/IJNRD1708001.pdf

Volume 2 Issue 6, August-2017

Pages : 1-3

Paper Reg. ID: IJNRD_170116

Published Paper Id: IJNRD1708001

Downloads: 000118804

Research Area: Applied Mathematics

Country: SRINAGAR, JAMMU AND KASHMIR, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1708001

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1708001

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition