<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-statistics-and-management-systems</journal-id>
      <journal-title-group>
        <journal-title> Journal of Statistics and Management Systems</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0014</issn>
      <issn publication-format="print">0972-0510</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JSMS-1295</article-id>
      <title-group>
        <article-title>An unbiased efficient estimator of population mean using an auxiliary attribute in stratified random sampling</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Brar</surname>
            <given-names>Sarbjit Singh</given-names>
          </name>
          <aff>Department of Statistics, Punjabi University, Patiala, Punjab, 147002, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Singh</surname>
            <given-names>Manpreet</given-names>
          </name>
          <aff>Department of Statistics, Punjabi University, Patiala, Punjab, 147002, India</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Malik</surname>
            <given-names>S. C.</given-names>
          </name>
          <aff>Department of Statistics, Maharashi Dayanand University, Rohtak, Haryana, 124001, India</aff>
        </contrib>
      </contrib-group>
      <volume>28</volume>
      <issue>4</issue>
      <fpage>629</fpage>
      <lpage>647</lpage>
      <pub-date date-type="pub">
        <day>09</day>
        <month>05</month>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>In this present paper, an unbiased estimator of population mean is suggested by using an auxiliary attribute within stratified simple random sampling (SSRS), the variance of the estimator has been theoretically derived, considering a first-order approximation. When compared to other comparable existing estimators, the proposed one has the smallest mean square error. The simulation study is employed to the artificial generated populations to verify the theoretical findings.</p>
      </abstract>
      <kwd-group>
        <kwd>Efficiency</kwd>
        <kwd>Estimation</kwd>
        <kwd>Mean square error</kwd>
        <kwd>Simulation</kwd>
        <kwd>Stratified random sampling</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
