ISSN: 2520-8756 (Print) 2520-8764 (Online)Description
The aim of the Japanese Journal of Statistics and Data Science (JJSD) is to publish original articles concerning statistical theories and novel applications in diverse research fields related to statistics and data science. It also sometimes publishes review and expository articles on specific topics, which are expected to bring valuable information for researchers interested in the fields selected. The journal also contribut … show all
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Original Paper
Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
Aki Ishii, Kazuyoshi Yata… (December 2018)
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Original Paper
On the product of the bivariate beta components
M. Ghorbel (December 2018)
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Original Paper
Second-order asymptotics in a class of purely sequential minimum risk point estimation (MRPE) methodologies
Jun Hu, Nitis Mukhopadhyay (December 2018)
Download PDF (1898KB) View Article
Original Paper
Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
Aki Ishii, Kazuyoshi Yata… (December 2018)
Download PDF (3212KB) View Article
Original Paper
On the product of the bivariate beta components
M. Ghorbel (December 2018)
Download PDF (1053KB) View Article
Original Paper
Second-order asymptotics in a class of purely sequential minimum risk point estimation (MRPE) methodologies
Jun Hu, Nitis Mukhopadhyay (December 2018)
Download PDF (1898KB) View Article
