Random orthogonal matrix simulation with exact means, covariances, and multivariate skewness Article Swipe
Michael Hanke
,
Spiridon Penev
,
W. K. Schief
,
Alex Weissensteiner
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1016/j.ejor.2017.05.023
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1016/j.ejor.2017.05.023
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ejor.2017.05.023
- OA Status
- green
- Cited By
- 7
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2616843069
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2616843069Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ejor.2017.05.023Digital Object Identifier
- Title
-
Random orthogonal matrix simulation with exact means, covariances, and multivariate skewnessWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-05-18Full publication date if available
- Authors
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Michael Hanke, Spiridon Penev, W. K. Schief, Alex WeissensteinerList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ejor.2017.05.023Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://handle.unsw.edu.au/1959.4/unsworks_46050Direct OA link when available
- Concepts
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Skewness, Multivariate statistics, Econometrics, Context (archaeology), Multivariate normal distribution, Multivariate analysis, Covariance matrix, Computer science, Measure (data warehouse), Statistics, Mathematics, Data mining, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2023: 1, 2021: 1, 2020: 2, 2017: 1Per-year citation counts (last 5 years)
- References (count)
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25Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | European Journal of Operational Research |
| primary_location.landing_page_url | https://doi.org/10.1016/j.ejor.2017.05.023 |
| publication_date | 2017-05-18 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2102917145, https://openalex.org/W2074154843, https://openalex.org/W2097863710, https://openalex.org/W1979947080, https://openalex.org/W2551089178, https://openalex.org/W6676677597, https://openalex.org/W6666302333, https://openalex.org/W1964976844, https://openalex.org/W2137201267, https://openalex.org/W3124077537, https://openalex.org/W2095573642, https://openalex.org/W1553000336, https://openalex.org/W2059891554, https://openalex.org/W6640998431, https://openalex.org/W1970726342, https://openalex.org/W2068177394, https://openalex.org/W2000031724, https://openalex.org/W2234289572, https://openalex.org/W2129376495, https://openalex.org/W2112717751, https://openalex.org/W614320654, https://openalex.org/W2405604099, https://openalex.org/W3122798731, https://openalex.org/W2063972848, https://openalex.org/W1963593775 |
| referenced_works_count | 25 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5063141595 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I184656255 |
| citation_normalized_percentile.value | 0.7926867 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |