## Abstract In this paper we develop a method for the decomposition of mass spectra of gas mixtures, together with the relevant calibration measurements. The method is based on Bayesian probability theory. Given a set of spectra, the algorithm returns the relative concentrations and the associated
Star masses and bayesian probability
โ Scribed by Maddox, John
- Book ID
- 109790021
- Publisher
- Nature Publishing Group
- Year
- 1994
- Tongue
- English
- Weight
- 136 KB
- Volume
- 371
- Category
- Article
- ISSN
- 0028-0836
- DOI
- 10.1038/371649a0
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๐ SIMILAR VOLUMES
## Abstract We present a method for the decomposition of the mass spectra of mixed gases using Bayesian probability theory. The method works without any calibration measurement and therefore applies also to the analysis of spectra containing unstable species. For the example of mixtures of three di
Scientific Data Gathering -- Displaying And Summarizing Data -- Logic, Probability, And Uncertainty -- Discrete Random Variables -- Bayesian Inference For Discrete Random Variables -- Continuous Random Variables -- Bayesian Inference For Binomial Proportion -- Comparing Bayesian And Frequentist Infe