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- W2796752441 abstract "Different ways of extracting parameters of interest from combined data sets of separate experiments are investigated accounting for the systematic errors. It is shown, that the frequentist approach may yield larger $chi^2$ values when compared to the Bayesian approach, where the systematic errors have a Gaussian distributed prior calculated in quadrature. The former leads to a better estimation of the parameters. A maximum-likelihood method, applied to different gedanken and real LHC data, is presented. The results allow to choose an optimal approach for obtaining the fit based model parameters." @default.
- W2796752441 created "2018-04-24" @default.
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- W2796752441 date "2018-04-14" @default.
- W2796752441 modified "2023-09-27" @default.
- W2796752441 title "arXiv : Statistical and systematical errors in analyses of separate experimental data sets in high energy physics" @default.
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