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              <text>REVIEW OF CENSORING SCHEMES: CONCEPTS, DIFFERENT TYPES, MODEL DESCRIPTION, APPLICATIONS AND FUTURE SCOPE</text>
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              <text>bibliometric analysis; hybrid censoring; left and right censoring; random censoring; survival analysis</text>
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              <text>Survival analysis is one of the key techniques utilized in the domains of reliability engineering, statistics, and medical domains. It focuses on the period between the initialization of an experiment and a subsequent incident. Censoring is one of the key aspects of survival analysis, and the techniques created in this domain are designed to manage various censoring schemes with ease, ensuring accurate and insightful time-to-event data analysis. The statistical efficiency of parameter estimates is improved by accurately incorporating censoring information by making use of the available data. This paper reviews the concepts, model descriptions, and applications of conventional and hybrid censoring schemes. The introduction of new censoring schemes from conventional censoring schemes has evolved by rectifying the drawbacks of the previous schemes, which are explained in detail in this study. The evolution of hybrid censoring schemes through the combination of various conventional censoring schemes, the data structures, concepts, methodology, and existing literature works of hybrid censoring schemes are reviewed in this work.  2024, Gnedenko Forum. All rights reserved.</text>
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          <name>Creator</name>
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              <text>Oommen N.P.; Gillariose J.</text>
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              <text>Reliability: Theory and Applications, Vol-19, No. 4, pp. 287-300.</text>
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              <text>Gnedenko Forum</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.24412/1932-2321-2024-480-287-300" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.24412/1932-2321-2024-480-287-300&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216334984&amp;amp;doi=10.24412%2F1932-2321-2024-480-287-300&amp;amp;partnerID=40&amp;amp;md5=8803537cf9f39771b8f7cccf202692b7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216334984&amp;amp;doi=10.24412%2f1932-2321-2024-480-287-300&amp;amp;partnerID=40&amp;amp;md5=8803537cf9f39771b8f7cccf202692b7&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 19322321</text>
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              <text>Online</text>
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              <text>Oommen N.P., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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