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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
    <eissn>2328-7292</eissn>
    <publicationDate>2019-11-08</publicationDate>
    <volume>7</volume>
    <issue>5</issue>
    <startPage>171</startPage>
    <endPage>177</endPage>
    <doi>10.12691/ajams-7-5-3</doi>
    <publisherRecordId>AJAMS2019753</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Optimal Design of Step Stress Partially Accelerated Life Test under Progressive Type-II Censored Data with Random Removal for Inverse Lomax Distribution</title>
    <authors>
      <author>
        <name>Yasser M. Amer</name>
        <email>yasseramer4@yahoo.com</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Rania M. Shalabi</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Cairo Higher Institutes, Mokattam, Cairo, Egypt</affiliationName>
      <affiliationName affiliationId="2">The Higher Institute of Managerial Science, Culture and Science City, 6th of October, Egypt</affiliationName>
    </affiliationsList>
    <abstract language="eng">Step Stress-Partially Accelerated Life Test SS-PALT under Type-II progressive censoring with Binomial or uniform removal assuming Inverse Lomax distribution has been presented. A comparison between both removals is shown. The Newton-Raphson method is applied to obtain maximum likelihood estimators MLE of the parameters and the optimal stress-change time which minimizes the generalized asymptotic variance. A simulation study is performed to illustrate the statistical properties of the parameters.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/7/5/3/ajams-7-5-3.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>Partially accelerated life test</keyword>
      <keyword>Binominal distribution</keyword>
      <keyword>uniform distribution</keyword>
      <keyword>Inverse Lomax distribution</keyword>
      <keyword>optimal design</keyword>
      <keyword>D-optimality</keyword>
      <keyword>Monte Carlo Simulation</keyword>
    </keywords>
  </record>
</records>