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            <name>Title</name>
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                <text>Articles</text>
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    <name>Article</name>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>A new stepwise method for selection of input and output variables in data envelopment analysis</text>
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          <name>Subject</name>
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              <text>Commercial banks; Data envelopment analysis; Dimensionality; Stepwise method; Welchs statistic</text>
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          <name>Description</name>
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              <text>Data envelopment analysis (DEA) is one of the widely accepted optimization technique uses to measure the relative efficiency of organizational units where multiple inputs and outputs are present. The significance of DEA results depends on the variables selected for DEA modelling. One of the main challenges in data envelopment analysis modelling is of identify the significant input and output variables for DEA modelling. In this study, we propose an enhanced stepwise method to identify the significant and insignificant input and output variable by reducing the iterations process in stepwise method. The statistical significance of the input and output variables evaluated using the statistical methods: Least significance difference (LSD), and Welchs statistics. The proposed method applied to the Indian banking sector and the results have shown that the proposed model significantly identified the significant and insignificant input and output variables with least loss of information.  2021 the author(s).</text>
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          <name>Creator</name>
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              <text>Subramanyam T.; Donthi R.; Satish Kumar V.; Amalanathan S.; Zalki M.</text>
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          <name>Source</name>
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              <text>Journal of Mathematical and Computational Science, Vol-11, No. 1, pp. 703-715.</text>
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          <name>Publisher</name>
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              <text>SCIK Publishing Corporation</text>
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          <name>Date</name>
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              <text>2021-01-01</text>
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          <name>Identifier</name>
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              <text>&lt;a href="https://doi.org/10.28919/jmcs/5205" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.28919/jmcs/5205&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099542040&amp;amp;doi=10.28919%2Fjmcs%2F5205&amp;amp;partnerID=40&amp;amp;md5=1efff3d4057f5ef1436b1534647d2502" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099542040&amp;amp;doi=10.28919%2fjmcs%2f5205&amp;amp;partnerID=40&amp;amp;md5=1efff3d4057f5ef1436b1534647d2502&lt;/a&gt;</text>
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          <name>Rights</name>
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            <elementText elementTextId="122185">
              <text>All Open Access; Gold Open Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISSN: 19275307</text>
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          <name>Format</name>
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              <text>Online</text>
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          <name>Language</name>
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            <elementText elementTextId="122188">
              <text>English</text>
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          <name>Type</name>
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              <text>Article</text>
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              <text>Subramanyam T., Department of Mathematics &amp;amp; Statistics, M.S. Ramaiah University of Applied Sciences, Bangalore, 560054, India; Donthi R., Department of Mathematics, St. MARTINS Engineering College, Telangana, 500100, India; Satish Kumar V., Department of Computer Science, East Point College of Higher Education, Bangalore, 560049, India; Amalanathan S., Department of Business and Management, Christ (Deemed to be University), Bangalore, 560029, India; Zalki M., Department of Mathematics, REVA University, Bangalore, 560064, India</text>
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