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Preprints of the Keldysh Institute of Applied Mathematics, 2023, 036, 16 pp.
DOI: https://doi.org/10.20948/prepr-2023-36 (Mi ipmp3164) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Methods for accelerating controlled online experiments

A. D. Minakov, V. A. Sudakov
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DOI: https://doi.org/10.20948/prepr-2023-36
Abstract: The paper discusses current methods of hypothesis testing on a large set of data on user actions on a banking site. Methods have been developed and investigated using a consistent approach and Bayesian statistics, and a recommendation for use has been formed. The application of the proposed methods made it possible to reduce the time of conducting controlled online experiments by 25-34%.
Keywords: testing, hypothesis testing, sequential testing, data analysis.
Document Type: Preprint
Language: Russian
Citation: A. D. Minakov, V. A. Sudakov, “Methods for accelerating controlled online experiments”, Keldysh Institute preprints, 2023, 036, 16 pp.
Citation in format AMSBIB
\Bibitem{MinSud23}
\by A.~D.~Minakov, V.~A.~Sudakov
\paper Methods for accelerating controlled online experiments
\jour Keldysh Institute preprints
\yr 2023
\papernumber 036
\totalpages 16
\mathnet{http://mi.mathnet.ru/ipmp3164}
\crossref{https://doi.org/10.20948/prepr-2023-36}
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  • https://www.mathnet.ru/eng/ipmp/y2023/p36
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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