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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18288
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dc.contributor.authorZachariah, Swaroop Georgyen_US
dc.contributor.authorArshad, Mohd.en_US
dc.contributor.authorSarkar, Mojammel Haqueen_US
dc.date.accessioned2026-05-14T12:28:22Z-
dc.date.available2026-05-14T12:28:22Z-
dc.date.issued2026-
dc.identifier.citationZachariah, S. G., Arshad, Mohd., & Sarkar, M. H. (2026). Nonparametric estimation of a bivariate mean inactivity time function with application in pink eye disease data. Statistics and Probability Letters, 235. https://doi.org/10.1016/j.spl.2026.110753en_US
dc.identifier.issn0167-7152-
dc.identifier.otherEID(2-s2.0-105033872461)-
dc.identifier.urihttps://dx.doi.org/10.1016/j.spl.2026.110753-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18288-
dc.description.abstractWe propose a novel nonparametric estimator for the bivariate mean inactivity time function (BMITF), study its asymptotic properties, and validate performance via simulations. Its practical relevance is demonstrated using pink eye disease data, estimating infection duration in both eyes. © 2026 Elsevier B.V.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourceStatistics and Probability Lettersen_US
dc.titleNonparametric estimation of a bivariate mean inactivity time function with application in pink eye disease dataen_US
dc.typeJournal Articleen_US
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