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Journal of Applied Statistics|June 16, 2022
Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength modelNabakumar Jana, Samadrita BeraJournal of Applied Statistics|January 26, 2023
Component selection for exponential power mixture modelsXinyi Wang, Zhenghui FengJournal of Applied Statistics|August 1, 2022
The new Neyman type A generalized odd log-logistic-G-family with cure fractionValdemiro P Vigas, Edwin M M Ortega, Gauss M Cordeiro, et al.Journal of Applied Statistics|July 31, 2026
Acceptance sampling-based investment indicators for financial security selection and portfolio optimizationNaveen Kumar, Vivek VijayJournal of Applied Statistics|July 31, 2026
Modeling multivariate ordinal time seriesMalte Jahn, Christian H WeißJournal of Applied Statistics|July 31, 2026
Bayesian hierarchical time-varying distributed lag nonlinear model: applications in the short-term association between ambient temperature and daily confirmed cases of COVID-19Dongu Han, Kiljae Lee, Yeonseung Chung, et al.Journal of Applied Statistics|September 3, 2026
Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks: an application to investment risk modelingHamza Abubakar, Amani A Idris SayedJournal of Applied Statistics|September 3, 2026
Latent space network model for the popularity effect, with applications to Bitcoin networksNamgil Lee, Jaehyun Park, Yoonjin Lee, et al.Journal of Applied Statistics|September 3, 2026
Evaluating discrimination accuracy of prognostic models with competing risk outcomesYang Qu, Yu ChengJournal of Applied Statistics|July 31, 2026
Testing the distribution change in multivariate data using rank energy statisticsYanhong Liu, Jiaqi Li, Zhonghua Li, et al.Pageof 123