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Journal of Applied Statistics|June 11, 2026
An integer-valued spatial autoregressive model with application to COVID-19 countsKai Yang, Mingming Jia, Xiaogang DongJournal of Applied Statistics|April 8, 2020
Loss functions in restricted parameter spaces and their Bayesian applicationsP Mozgunov, T Jaki, M GaspariniJournal of Applied Statistics|June 16, 2022
On a generalization of the test of endogeneity in a two stage least squares estimationAyyub Sheikhi, Fatemeh Bahador, Mohammad ArashiJournal of Applied Statistics|June 16, 2022
Bayesian inference in based-kernel regression: comparison of count data of condition factor of fish in pond systemsT Senga Kiessé, Etienne Rivot, Christophe Jaeger, et al.Journal of Applied Statistics|June 16, 2022
Comparison of different estimation methods for extreme value distributionAsuman Yılmaz, Mahmut Kara, Onur ÖzdemirJournal of Applied Statistics|June 16, 2022
Tests of fit for the Gumbel distribution: EDF-based tests against entropy-based testsHadi Alizadeh Noughabi, Jalil JarrahiferizJournal of Applied Statistics|June 16, 2022
Bayesian generalizations of the integer-valued autoregressive modelPaulo C Marques F, Helton Graziadei, Hedibert F LopesJournal of Applied Statistics|June 16, 2022
Estimating Engel curves: a new way to improve the SILC-HBS matching process using GLM methodsJulio López-Laborda, Carmen Marín-González, Jorge Onrubia-FernándezJournal of Applied Statistics|June 16, 2022
Residualization: justification, properties and applicationCatalina B García, Román Salmerón, Claudia García, et al.Journal of Applied Statistics|June 16, 2022
Bayesian inference: Weibull Poisson model for censored data using the expectation-maximization algorithm and its application to bladder cancer dataAnurag Pathak, Manoj Kumar, Sanjay Kumar Singh, et al.Pageof 123