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- W2391752591 abstract "Because of the general distribution parameter of aircraft testing data is unknown,Bayes theory can not obtain posterior distribution.We put forward conjugate distribution theory to solve this problem.First,prior distribution of historical data was obtained by stochastic weighting,and then population variance was calculated by Bayes theory.Posterior distribution of mean was estimated by conjugate distribution theory.The simulation showed that confidence interval of distribution parameter decreased and precision of estimating increased.This approach avoided the problem of arithmetic complexity caused by Bayes theory directly,and unable to integral.It was an efficient way to process aircraft test data under the condition of prior information insufficiency and distribution parameter unknown." @default.
- W2391752591 created "2016-06-24" @default.
- W2391752591 creator A5049386983 @default.
- W2391752591 date "2010-01-01" @default.
- W2391752591 modified "2023-09-26" @default.
- W2391752591 title "Bayes Statistics Method for Aircraft Testing Data Based on Conjugate Distribution" @default.
- W2391752591 hasPublicationYear "2010" @default.
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