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On Markov Sufficient Statistics in Non-Additive Bayes Problems of Sequential Analysis

Theory of Probability & Its Applications, 1964
The question of finding Markov sufficient statistics (see definition 3) in the problem of minimisation of the functional (2) is considered. It is supposed that the parameter $\theta $ is the random moment at which the density $f_0 $ changes to $f_1 $ (§ 1–3) or to one of the $f_1 , \cdots ,f_m $ (§ 5). In the case when the densities $f_0 ,f_1 , \cdots ,
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Sequential analysis for quantifying statistical uncertainty in fire testing

Proceedings of the 12th Asia-Oceania Symposium on Fire Science and Technology (AOSFST 2021), 2021
David Morrisset   +4 more
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Investigations by statistical sequential analysis

Mathematical Notes of the Academy of Sciences of the USSR, 1968
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Statistical analysis of finite mixture distributions

, 1986
A. Renshaw   +3 more
semanticscholar   +1 more source

The sequential statistical analysis of hypothesis testing

European Journal of Operational Research, 1989
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The sequential statistical analysis of hypothesis testing

European Journal of Operational Research, 1990
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