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Journal of Applied Statistics|October 22, 2019
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image ClassificationCheng Ju, Aurélien Bibaut, Mark van der LaanJournal of Applied Statistics|January 30, 2018
A Bayesian finite mixture change-point model for assessing the risk of novice teenage driversQing Li, Feng Guo, Inyoung Kim, et al.Journal of Applied Statistics|August 1, 2022
Estimation of the parameters of symmetric stable ARMA and ARMA-GARCH modelsAastha M Sathe, N S UpadhyeJournal of Applied Statistics|August 1, 2022
Generalized Poisson integer-valued autoregressive processes with structural changesChenhui Zhang, Dehui Wang, Kai Yang, et al.Journal of Applied Statistics|August 5, 2021
Maximum likelihood estimation for the proportional odds model with mixed interval-censored failure time dataLiang Zhu, Xingwei Tong, Dingjiao Cai, et al.Journal of Applied Statistics|November 3, 2022
A generalized BLUE approach for combining location and scale information in a meta-analysisXin Yang, Alan D Hutson, Dongliang WangJournal of Applied Statistics|November 3, 2022
A one-sided exponentially weighted moving average control chart for time between eventsFuPeng Xie, Philippe Castagliola, YuLong Qiao, et al.Journal of Applied Statistics|November 3, 2022
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of associationJ C Poythress, Cheolwoo Park, Jeongyoun AhnJournal of Applied Statistics|October 13, 2022
Maximum precision estimation for a step-stress model using two-stage methodologiesSudeep R Bapat, Yan ZhuangJournal of Applied Statistics|October 27, 2022
Effect of non-normality on the monitoring of simple linear profiles in two-stage processes: a remedial measure for gamma-distributed responsesParia Soleimani, Shervin AsadzadehPageof 119