Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jeevanand, E.S.; Anjana, E.J.; Prabhu, Sowbhagya S.; Rebello, Joseph Justin Title A name given to the resource SHRINKAGE BASED ESTIMATION FOR STRESS STRENGTH RELIABILITY P[Y &lt; X &lt; Z] FOR THE EXPONENTIAL DISTRIBUTION Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Asian Journal of Statistical Sciences;Volume;5;Issue;1;pp.57-69 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105018819850?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018819850?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jeevanand E.S., Department of Statistics and Data Science, Christ University, Karnataka, India; Anjana E.J., Department of Mathematics, Rheinische Friedrich Wilhelms Universit, Bonn, 53115, Germany; Prabhu S.S., Department of Statistics, Rajagiri College of Social Sciences, Kerala, India; Rebello J.J., St. Alberts College (Autonomous), Kerala, Ernakulam, 682018, India Description An account of the resource Estimating stress-strength reliability of the form P(Y &lt; X &lt; Z) is a pivotal concern in reliability analysis, particularly when systems are subjected to both lower and upper stress limits. This paper investigates the reliability measure under the assumption that the stress variables Y and Z, as well as the strength variable X, follow exponential distributions. The analysis is conducted using both complete samples and right-censored samples to reflect realistic data collection scenarios. To improve estimation efficiency, we propose several shrinkage estimators based on distinct strategies: a constant shrinkage weight factor, a modified Thompson-type shrinkage weight, and the formulation introduced by Mehta and Srinivasan (1971). The performance of these estimators is evaluated via extensive Monte Carlo simulations and compared against the conventional maximum likelihood estimator, demonstrating the relative merits and limitations of each approach. ARF India, Gurgaon, India. Subject The topic of the resource Exponential distribution; Shrinkage estimation; Stress Strength reliability Publisher An entity responsible for making the resource available ARF India Relation A related resource ISSN: 25829912; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online