Sample Size for Maximum-Likelihood Estimates of Gaussian Model Depending on Dimensionality of Pattern Space

Psutka, Josef; Psutka, Josef

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DC pole	Hodnota	Jazyk
dc.contributor.author	Psutka, Josef
dc.contributor.author	Psutka, Josef
dc.date.accessioned	2019-11-11T11:00:22Z	-
dc.date.available	2019-11-11T11:00:22Z	-
dc.date.issued	2019
dc.identifier.citation	KUMAR, V., WANG, M., KUMARI, A., AKKARANGGOON, S., GARZA-REYES, J.A., NEUTZLING, D., TUPA, J. Exploring short food supply chains from triple bottom line lens: A comprehensive systematic review. In: Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM 2019). Michigan: IEOM Society International, 2019. s. 728-738. ISBN 978-1-5323-5948-4 , ISSN 2169-8767.	en
dc.identifier.isbn	978-1-5323-5948-4
dc.identifier.issn	0031-3203
dc.identifier.uri	2-s2.0-85067239868
dc.identifier.uri	http://hdl.handle.net/11025/35857
dc.format	11 s.	cs
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.publisher	IEOM Society International	en
dc.relation.ispartofseries	Proceedings of the International Conference on Industrial Engineering and Operations Management (IEOM 2019)	en
dc.rights	Plný text je přístupný v rámci univerzity přihlášeným uživatelům.	cs
dc.rights	© IEOM Society International	en
dc.subject	Maximálně věrohodný odhad	cs
dc.subject	věrohodnostní funkce	cs
dc.subject	Gaussovský model	cs
dc.subject	GMM	cs
dc.subject	velikost dat	cs
dc.subject	dimenzionalita	cs
dc.subject	obrazový prostror	cs
dc.subject	heterosceadistická data	cs
dc.title	Sample Size for Maximum-Likelihood Estimates of Gaussian Model Depending on Dimensionality of Pattern Space	en
dc.title.alternative	Počet dat pro maximálně věrohodný odhad Gaussovského modelu v závislosti na dimenzi obrazového prostoru.	cs
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.rights.access	restrictedAccess	en
dc.type.version	publishedVersion	en
dc.description.abstract-translated	Growing awareness towards the sustainability has compelled supply chain domain experts to explore its relevance in this context. As a result, a number of studies in recent years have focused on investigating sustainable supply chain practices across the globe. Short food supply chains (SFSCs) have emerged as a promising sustainable alternative to the industrialized agro-food supply systems. However, academic literature hasn’t fully explored the linkage between SFSCs and sustainability. This study therefore aims to explore how SFSCs conforms to the dimensions of sustainability using the sustainability framework (social, economic, and environmental). The findings are based on a systematic literature review of 44 articles published between 2000 and 2018 selected from six electronic databases was used for the analysis. All items were properly analyzed by the researchers, seeking to identify the relationship or proximity of the information found in the papers with the SFSC concept. Our studies highlight the societal, environmental and cultural benefits of SFSC in addition to the associated economic and safety benefits. Our study thus, adds to the scant literature on SFSCs and shows a clear linkage between SFSCs and five-dimensional sustainability framework. We also propose a set of research questions that sets direction for future research.	en
dc.subject.translated	Maximum-likelihood estimate	en
dc.subject.translated	Likelihood function	en
dc.subject.translated	Gaussian model	en
dc.subject.translated	Gaussian mixture model	en
dc.subject.translated	Sample size	en
dc.subject.translated	Dimensionality	en
dc.subject.translated	Pattern space	en
dc.subject.translated	Heteroscedastic data	en
dc.identifier.doi	10.1016/j.patcog.2019.01.046
dc.type.status	Peer-reviewed	en
dc.identifier.document-number	466250400003
dc.identifier.obd	43926841
Vyskytuje se v kolekcích:	Konferenční příspěvky / Conference papers (KET) OBD

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