Open AccessDecision-making Risks of Operational Tests from a Statistical Point of View
Author(s) -
Yun Bo,
Benli Yu,
Xuejun Liao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012182
Subject(s) - credibility , point (geometry) , statistical hypothesis testing , test (biology) , computer science , risk analysis (engineering) , operations research , order (exchange) , statistical power , engineering , statistics , business , mathematics , political science , paleontology , geometry , finance , law , biology
The operational test, along with the evaluation based on it, is the most important decision-making basis for the Department of Defence in acquiring weapons and equipment. However, there has been relatively little attention to the credibility of its conclusions. In order to evaluate the decision-making risks quantitatively, the relationship between the two types of errors in the operational tests is studied. By analysing the interaction between the factors affecting decision risk errors, it is pointed out that it is of great practical significance to ensure that the tests have sufficient statistical power, which is usually overlooked before in operational tests.