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              <text>Selection of Tightened-Normal-Tightened sampling scheme under the implications of intervened Poisson distribution</text>
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              <text>Intervened Poisson distribution; Sampling plan; Sampling scheme; Single sampling plan; Tightened-normal-tightened sampling scheme</text>
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              <text>Tightened-normal-tightened (TNT) sampling scheme is one of the most frequently used sampling schemes for making decisions about the finished product lots by examining certain samples from the lots. TNT sampling scheme includes two attribute sampling plans, one for tightened inspection and other for normal inspection along with switching rules. This paper introduces a procedure for TNT by incorporating two single sampling plans (SSP) under the conditions of intervened Poisson distribution (IPD) for the lots which may have a possibility of someintervention during the production process. The paper also assesses the performance of the proposed scheme procedure through its operating characteristic curves. Also, the unity value table is provided for certain parameters of specified producer's risk and consumer's risk for shop floor conditions. Further, the efficiency of proposed TNT scheme over the individual SSP under the conditions of IPD is demonstrated with illustrations.  2019 University of the Punjab.</text>
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              <text>Azarudheen S.; Veerakumari K.P.</text>
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              <text>Pakistan Journal of Statistics and Operation Research, Vol-15, No. 1, pp. 129-140.</text>
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              <text>University of the Punjab</text>
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              <text>2019-01-01</text>
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              <text>&lt;a href="https://doi.org/10.18187/pjsor.v15i1.2351" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.18187/pjsor.v15i1.2351&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064568574&amp;amp;doi=10.18187%2Fpjsor.v15i1.2351&amp;amp;partnerID=40&amp;amp;md5=4488470637ca55331ae1bf92a267883a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064568574&amp;amp;doi=10.18187%2fpjsor.v15i1.2351&amp;amp;partnerID=40&amp;amp;md5=4488470637ca55331ae1bf92a267883a&lt;/a&gt;</text>
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              <text>All Open Access; Gold Open Access</text>
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              <text>ISSN: 18162711</text>
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              <text>Azarudheen S., Department of Statistics, CHRIST, India; Veerakumari K.P., Department of Statistics, Bharathiar University, India</text>
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