Zobrazeno 1 - 10 of 57 pro vyhledávání: '"Olha, Bodnar"'
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Akademický článek
Logistics transformation on grain and oilseeds markets during the war in Ukraine: Marketing approaches and strategies
Autor: Olha Bodnar, Yulia Halchynska, Yaroslava Larina, Anna Filatova, Ihor Stepanets
Publikováno v: Наукові горизонти, Vol 27, Iss 9, Pp 134-147 (2024)
The Russian military invasion has caused a collapse in food supplies from Ukraine to world markets. The transformation of Ukrainian export logistics has been carried out under critical conditions and extremely limited deadlines. This article evaluate
Externí odkaz: https://doaj.org/article/94e244b674bc4aa18566c4b06c0de9a4
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2
Practical aspects of Bayesian multivariate meta-analysis
Autor: Olha Bodnar, Taras Bodnar
Publikováno v: Ukrainian Metrological Journal. :7-11
Multivariate meta-analysis is a mostly used approach when multivariate results of several studies are pooled together. The multivariate model of random effects provides a tool to perform the multivariate meta-analysis in practice. In this paper, we d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc406c25471aa875498a5f209949f6a0
https://doi.org/10.24027/2306-7039.4.2022.276300
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3
Redefining Standard Measurement Uncertainty
Autor: Antonio Possolo, Olha Bodnar
Publikováno v: Ukrainian Metrological Journal. :34-37
The Guide to the Expression of Uncertainty in Measurement (GUM) defines standard measurement uncertainty as the standard deviation of a probability distribution that describes the uncertainty associated with an estimate of the measurand, and defines
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b65db09c2af0e45dbfe466d5ced6185
https://doi.org/10.24027/2306-7039.1.2022.258815
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6
Noninformative Bayesian inference for heterogeneity in a generalized marginal random effects meta-analysis
Autor: Olha Bodnar
Publikováno v: Theory of Probability and Mathematical Statistics. 100:3-19
In this paper an objective Bayesian inference is proposed for the heterogeneity parameter in a generalized marginal random effects model. Models of this kind are widely used in meta-analysis and in ...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69d64dcbdc0a6b53a93a149e2101a251
https://doi.org/10.1090/tpms/1095
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7
Recent advances in shrinkage-based high-dimensional inference
Autor: Nestor Parolya, Olha Bodnar, Taras Bodnar
Publikováno v: Journal of Multivariate Analysis, 188
Recently, the shrinkage approach has increased its popularity in theoretical and applied statistics, especially, when point estimators for high-dimensional quantities have to be constructed. A shrinkage estimator is usually obtained by shrinking the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ac1000114eed79096bf64b78a58bbe9
http://resolver.tudelft.nl/uuid:070c4d26-a2b7-4571-9c4f-fc2a3e5c117e
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10
Assessing Laboratory Effects in Key Comparisons with Two Transfer Standards Measured in Two Petals: A Bayesian Approach
Autor: Clemens Elster, Olha Bodnar
Publikováno v: Frontiers in Statistical Quality Control 13 ISBN: 9783030678555
Scopus-Elsevier
We propose a new statistical method for analyzing data from a key comparison when two transfer standards are measured in two petals. The approach is based on a generalization of the classical random effects model, a popular procedure in metrology. Ba
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28ccaa0e34fa555d84934fcd24823aec
https://doi.org/10.1007/978-3-030-67856-2_20
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