Tolerance Interval for the Mixture Normal Distribution Based on Generalized Extreme Value Theory

Autor: Junjun Jiao, Ruijie Guan

Publikováno v: Mathematics, Vol 12, Iss 7, p 1114 (2024)

For a common type of mixture distribution, namely the mixture normal distribution, existing methods for constructing its tolerance interval are unsatisfactory for cases of small sample size and large content. In this study, we propose a method to con

Externí odkaz: https://doaj.org/article/352276a1b91f4ba3a1f617574417b453

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Fitting Realistic Data Centre Workloads

Autor: Niels J. Geuze, Boudewijn R. Haverkort, Björn Frits Postema

Publikováno v: e-Energy
e-Energy 2018-Proceedings of the 9th ACM International Conference on Future Energy Systems, 486-491
STARTPAGE=486;ENDPAGE=491;TITLE=e-Energy 2018-Proceedings of the 9th ACM International Conference on Future Energy Systems

Data centres are playing a pivotal role in all cloud-based services (e-commerce, social networks, financial services, e-government, etc.). The performance of data centres is crucial for the acceptance of all these services by end-users. It is importa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfee90cba113f1ff5d1018b7dccc26aa
https://doi.org/10.1145/3208903.3213520

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Structural Vector Autoregressions With Nonnormal Residuals

Autor: Markku Lanne, Helmut Lütkepohl

Publikováno v: Journal of Business and Economic Statistics. 28(1):159-168

In structural vector autoregressive (SVAR) models identifying restrictions for shocks and impulse responses are usually derived from economic theory or institutional constraints. Sometimes the restrictions are insufficient for identifying all shocks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a3c1a40a80705614cc152b9391e4c5c
http://pubs.amstat.org/doi/abs/10.1198/jbes.2009.06003