Zobrazeno 1 - 10
of 57
pro vyhledávání: '"E. Parzen"'
Autor:
E. Parzen
With the support of the Office of Naval Research Program on Statistics and Probability (Dr. Edward J. Wegman, Director), The Department of Statistics at Texas A&M University hosted a Symposium on Time Series Analysis of Irregularly Observed Data duri
Viable ova of Ascaris lumbricoides , an indicator organism for pathogens, are frequently found in feces-derived compost produced from ecological toilets, demonstrating that threshold levels of time, temperature, pH, and moisture content for pathogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae84c9fe6a569e0635ece2bccb71e36a
https://europepmc.org/articles/PMC3416402/
https://europepmc.org/articles/PMC3416402/
Publikováno v:
Proceedings of the 2004 Winter Simulation Conference, 2004..
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1f0f2315dd1ff8cb2559b5ac9270300
https://doi.org/10.1109/wsc.2004.1371383
https://doi.org/10.1109/wsc.2004.1371383
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Autor:
E. Parzen
Publikováno v:
Developments in Time Series Analysis ISBN: 9780412492600
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490e191691509725ebb6d7d23b39a01e
https://doi.org/10.1007/978-1-4899-4515-0_11
https://doi.org/10.1007/978-1-4899-4515-0_11
Publikováno v:
Journal of the American Statistical Association. 93:1529
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0962cf056ba5d95c3a4d87ed2475265
https://doi.org/10.2307/2670083
https://doi.org/10.2307/2670083
Autor:
Spyros Makridakis, Robert Fildes, R. Lewandowski, Robert L. Winkler, J. Newton, Michèle Hibon, R. Carbone, A. Andersen, E. Parzen
Publikováno v:
Journal of Forecasting. 1:111-153
ln the last few decades matiy methods have become available for forecasting. As always, when alternatives exist, choices need to be made so that an appropriate forecasting method can be selected and used for the specific situation being considered. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ee7c9b33a566a964a76223b4231cf2
https://doi.org/10.1002/for.3980010202
https://doi.org/10.1002/for.3980010202
Autor:
E. Parzen
Publikováno v:
IFAC Proceedings Volumes. 18:731-736
This paper describes research in progress whose goal is to apply techniques of Quantile Data Analysis to interpret non-parametric functions such as the spectral density, sample correlations, and sample partial correlations, which are used to analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b9939137f84947a75025459ee7dc7d
https://doi.org/10.1016/s1474-6670(17)60647-5
https://doi.org/10.1016/s1474-6670(17)60647-5
Publikováno v:
Journal of Vibration and Acoustics. 106:90-99
Rotors of rotating machinery inherently have mass eccentricities that transfer forces to the bearings, housing, and foundation of the machine. This paper considers, from a probabilistic viewpoint, ways to determine the foundation forces and their pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d83ac28c0c37286bee548b70c655905
https://doi.org/10.1115/1.3269160
https://doi.org/10.1115/1.3269160
Autor:
Oliver D. Anderson, S. Makridakis, A. Andersen, R. Carbone, R. Fildes, M. Hibon, R. Lewandowski, J. Newton, E. Parzen, R. Winkler
Publikováno v:
Journal of the American Statistical Association. 81:262
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65c2c42e2e9e2ee060da69d58b41a33
https://doi.org/10.2307/2288019
https://doi.org/10.2307/2288019