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On Markov Sufficient Statistics in Non-Additive Bayes Problems of Sequential Analysis
Theory of Probability & Its Applications, 1964The 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), 2021David Morrisset +4 more
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Modern Sequential Statistical Analysis (Vol II) – In Honor of Professor Herbert Robbins
, 1993W. D. Ray
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Investigations by statistical sequential analysis
Mathematical Notes of the Academy of Sciences of the USSR, 1968openaire +2 more sources
Statistical analysis of finite mixture distributions
, 1986A. Renshaw +3 more
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The sequential statistical analysis of hypothesis testing
European Journal of Operational Research, 1989openaire +1 more source
The sequential statistical analysis of hypothesis testing
European Journal of Operational Research, 1990openaire +1 more source

