Avoiding biases in binned fits
Avoiding biases in binned fits
About this item
Full title
Author / Creator
Gligorov, V V , Hageboeck, S , Nanut, T , Sciandra, A and Tou, D Y
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
Binned maximum likelihood fits are an attractive option when analysing large datasets, but require care when computing likelihoods of continuous PDFs in bins. For many years the widely used statistical modelling package RooFit evaluated probabilities at the bin centre, leading to significant biases for strongly curved probability density functions....
Alternative Titles
Full title
Avoiding biases in binned fits
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2519563861
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2519563861
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2104.13879
