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Abstract
Applicational aspects of probabilistic model of measurement processes, proposed by G.B. Rossi, are considered. The main idea of the model - using of Bayes-Laplace postulate for solution of inverse probability problem, is substituted by Fisher's concept of the likelihood function, expressed in the data translated format. This approach gives a clear-sighted solution of inverse probability. Some recommendations for application of the model successfully in conformity assessment and risk evaluation tasks are also presented.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Problems and progress in metrology strony 39 - 42
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Toczek W.: How to apply the probabilistic model of measurement processes successfully// Problems and progress in metrology/ ed. Artur Skórkowski Szczyrk: Metrology Commission of Katowice Branch of Polish Academy of Sciences, 2016, s.39-42
- Verified by:
- Gdańsk University of Technology
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