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Journal of Applied Statistics|November 16, 2023
An efficient estimation approach to joint modeling of longitudinal and survival dataJody Krahn, Shakhawat Hossain, Shahedul KhanJournal of Applied Statistics|November 16, 2023
Penalized likelihood methods for modeling count dataMinh Thu Bui, Cornelis J Potgieter, Akihito KamataJournal of Applied Statistics|November 16, 2023
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditionsFatemeh Hassantabar Darzi, Samaneh Eftekhari Mahabadi, Firoozeh HaghighiJournal of Applied Statistics|November 16, 2023
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulationSomnath Chaudhuri, Pablo Juan, Jorge MateuJournal of Applied Statistics|November 16, 2023
Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approachesKa Kin Lam, Bo WangJournal of Applied Statistics|July 17, 2023
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfallFidel Ernesto Castro Morales, Daniele Torres RodriguesJournal of Applied Statistics|July 12, 2023
Some properties of stop-loss moments under biased samplingN Vipin, Indranil Ghosh, S M SunojJournal of Applied Statistics|July 12, 2023
The efficient design of Nested Group Testing algorithms for disease identification in clustered dataAna F Best, Yaakov Malinovsky, Paul S AlbertJournal of Applied Statistics|August 2, 2023
On regime changes of COVID-19 outbreakA Tchorbadjieff, L P Tomov, V Velev, et al.Journal of Applied Statistics|August 9, 2023
Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorderE Skamnia, P Economou, S Bersimis, et al.Pageof 123