Hoboken, NJ, Wiley, 2020
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The event Hoboken, NJ, Wiley, 2020 represents a publication, printing, distribution, issue, release or production of resources found in European University Institute Library.
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Hoboken, NJ, Wiley, 2020
Resource Information
The event Hoboken, NJ, Wiley, 2020 represents a publication, printing, distribution, issue, release or production of resources found in European University Institute Library.
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6 Items that share the ProviderEvent Hoboken, NJ, Wiley, 2020
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- Clustering methodology for symbolic data, Lynne Billard, Edwin Diday
- Geographies of anticolonialism : political networks across and beyond South India, c. 1900-1930, Andrew Davies, (electronic resource)
- Geographies of anticolonialism : political networks across and beyond South India, c. 1900-1930, Andrew Davies, (electronic resource)
- Geographies of anticolonialism : political networks across and beyond South India, c. 1900-1930, Andrew Davies, (electronic resource)
- Geographies of anticolonialism : political networks across and beyond South India, c. 1900-1930, Andrew Davies, (electronic resource)
- Geographies of anticolonialism : political networks across and beyond South India, c. 1900-1930, Andrew Davies, (electronic resource)
- Industrial environmental management : engineering, science, and policy, Tapas K. Das
- Industry 4.0 and circular economy : towards a wasteless future or a wasteful planet?, Antonis Mavropoulos, Anders Waage Nilsen, (electronic resource)
- Industry 4.0 and circular economy : towards a wasteless future or a wasteful planet?, Antonis Mavropoulos, Anders Waage Nilsen, (electronic resource)
- Industry 4.0 and circular economy : towards a wasteless future or a wasteful planet?, Antonis Mavropoulos, Anders Waage Nilsen, (electronic resource)
- Sampling and estimation from finite populations, Yves Tillé ; most of this book has been translated from French by Ilya Hekimi
- Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science, Daniel J. Denis, (electronic resource)
- Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science, Daniel J. Denis, (electronic resource)
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/QtR7tykE4IU/" typeof="PublicationEvent http://bibfra.me/vocab/lite/ProviderEvent"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/QtR7tykE4IU/">Hoboken, NJ, Wiley, 2020</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute Library</a></span></span></span></span></div>
