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Journal of applied statistics

Showing results (301-310 of 1,188) with videos related to

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Journal of Applied Statistics|January 15, 2025
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri LankaN M Wijesekara, N Withanage, N R Abeynayake
Journal of Applied Statistics|December 4, 2024
A supervised weeding method to cluster high dimensional predictors with application to job market analysisYuyang Li, Jianxin Bi, Jingyuan Liu, et al.
Journal of Applied Statistics|December 4, 2024
Towards a unified test for the intercept of autoregressive modelsJing Zhang, Yawen Fan, Yu Wang, et al.
Journal of Applied Statistics|December 4, 2024
Identifying waves of COVID-19 mortality using skew normal curvesKamal Rai, Patrick E Brown
Journal of Applied Statistics|November 20, 2024
A novel M-Lognormal-Burr regression model with varying threshold for modeling heavy-tailed claim severity dataGirish Aradhye, Deepesh Bhati, George Tzougas
Journal of Applied Statistics|November 7, 2024
Directional false discovery rate control in large-scale multiple comparisonsWenjuan Liang, Dongdong Xiang, Yajun Mei, et al.
Journal of Applied Statistics|February 14, 2025
Sample size calculation for the sequential parallel comparison design with binary endpoint using exact methodsGuogen Shan, Yahui Zhang
Journal of Applied Statistics|November 7, 2024
MSE superiority of the unrestricted Stein-rule estimator in a regression model with a possible structural breakHaifeng Xu, Akio Namba
Journal of Applied Statistics|November 5, 2025
Zero-inflated Poisson mixed model for longitudinal count data with informative dropoutsSanjoy K Sinha
Journal of Applied Statistics|October 6, 2025
Improving the within-node estimation of survival trees while retaining interpretabilityHaolin Li, Yiyang Fan, Jianwen Cai
Pageof 119

Showing results (301-310 of 1,188) with videos related to

Sort By:
Pageof 119
Journal of Applied Statistics|January 15, 2025
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri LankaN M Wijesekara, N Withanage, N R Abeynayake
Journal of Applied Statistics|December 4, 2024
A supervised weeding method to cluster high dimensional predictors with application to job market analysisYuyang Li, Jianxin Bi, Jingyuan Liu, et al.
Journal of Applied Statistics|December 4, 2024
Towards a unified test for the intercept of autoregressive modelsJing Zhang, Yawen Fan, Yu Wang, et al.
Journal of Applied Statistics|December 4, 2024
Identifying waves of COVID-19 mortality using skew normal curvesKamal Rai, Patrick E Brown
Journal of Applied Statistics|November 20, 2024
A novel M-Lognormal-Burr regression model with varying threshold for modeling heavy-tailed claim severity dataGirish Aradhye, Deepesh Bhati, George Tzougas
Journal of Applied Statistics|November 7, 2024
Directional false discovery rate control in large-scale multiple comparisonsWenjuan Liang, Dongdong Xiang, Yajun Mei, et al.
Journal of Applied Statistics|February 14, 2025
Sample size calculation for the sequential parallel comparison design with binary endpoint using exact methodsGuogen Shan, Yahui Zhang
Journal of Applied Statistics|November 7, 2024
MSE superiority of the unrestricted Stein-rule estimator in a regression model with a possible structural breakHaifeng Xu, Akio Namba
Journal of Applied Statistics|November 5, 2025
Zero-inflated Poisson mixed model for longitudinal count data with informative dropoutsSanjoy K Sinha
Journal of Applied Statistics|October 6, 2025
Improving the within-node estimation of survival trees while retaining interpretabilityHaolin Li, Yiyang Fan, Jianwen Cai
Pageof 119