New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty

被引：0
|
作者：
Gundars Nicholas Nechval
Konstantin Berzins
机构：
[1] BVEF Research Institute,
[2] University of Latvia,undefined
[3] Transport and Telecommunication Institute,undefined
来源：
Automatic Control and Computer Sciences | 2023年 / 57卷
关键词：
anticipated outcomes; parametric uncertainty; unknown (nuisance) parameters; elimination; pivotal quantities; ancillary statistics; new-sample prediction; within-sample prediction;
D O I：
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中图分类号：
学科分类号：
摘要：
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页码：473 / 489
页数：16
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