Zobrazeno 1 - 10
of 10
pro vyhledávání: '"R. Bradford Murphy"'
Publikováno v:
Operations Research. 48:517-526
This historical account of operations research at Bell Laboratories was drafted in the late 1970s when the authors were part of the Operations Research Center within Bell Laboratories at AT&T; it has not previously appeared in the open literature. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7844741565434a9aa257f4f80e19aa4
https://doi.org/10.1287/opre.48.4.517.12419
https://doi.org/10.1287/opre.48.4.517.12419
Autor:
Dawson, Cree S. creedawson@aol.com, McCallum Jr., Charles J.1 charlesmccallum@firstusa.com, Murphy, R. Bradford, Wolman, Eric2 eric.wolman@erols.com
Publikováno v:
Operations Research. Jul/Aug2000, Vol. 48 Issue 4, p517-526. 10p.
Publikováno v:
Notices of the American Mathematical Society; Mar2023, Vol. 70 Issue 3, p503-503, 1/4p
Autor:
McGrayne, Sharon Bertsch
Publikováno v:
Die Theorie, die Nicht Sterben Wollte; 2014, pI-XVIII, 18p
Publikováno v:
Fundamentals of Exploratory Analysis of Variance; 1991, pi-xvii, 14p
Autor:
David, Herbert A., Morrison, Donald F.
Publikováno v:
American Statistician; Feb2006, Vol. 60 Issue 1, p46-49, 4p
Autor:
Sharon Bertsch McGrayne
Bayes'rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its oppone
Autor:
Sharon Bertsch McGrayne
Suchmaschinen und Qualitätsmanagement, Versicherungen und Erdbebenvorhersagen, Verkehrsflüsse, Geheimcodes und medizinische Prognosen – die sogenannte Bayes'sche Regel ist geradezu allgegenwärtig und dennoch nur wenigen vertraut. Dabei ist sie i
Autor:
Alan Agresti, Xiao-Li Meng
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each d
The analysis of variance is presented as an exploratory component of data analysis, while retaining the customary least squares fitting methods. Balanced data layouts are used to reveal key ideas and techniques for exploration. The approach emphasize