In a toy thrust-distribution benchmark, multinomial likelihood recovers a known mixture parameter more reliably than a simple Pearson chi-square, with interpolation reducing off-grid bias at low statistics.
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Statistical validation of template-based parameter extraction from toy thrust distributions for future FCC-ee studies
In a toy thrust-distribution benchmark, multinomial likelihood recovers a known mixture parameter more reliably than a simple Pearson chi-square, with interpolation reducing off-grid bias at low statistics.