{"id":476,"date":"2017-09-24T05:03:19","date_gmt":"2017-09-24T05:03:19","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&p=476"},"modified":"2017-09-24T05:03:32","modified_gmt":"2017-09-24T05:03:32","slug":"r-linear-r","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/r-linear-r\/","title":{"rendered":"Is linear in ?"},"content":{"rendered":"
The quantity was introduced by Barndorff-Nielsen, in part as a distributional
\nrefi\fnement of the signed likelihood root , a refi\fnement that can
\nalso be approximated by a mean and standard deviation adjustment of the root
\n. We clarify: that is not linear in ; that achieves large distributional
\nimprovement on ; and that provides the de\ffinitive separation of inference
\ninformation concerning scalar component parameters of a statistical model.
\nThese distributional and inference properties deserve broader awareness.<\/p>\n