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Titlebook: Random Sets; Theory and Applicati John Goutsias,Ronald P. S. Mahler,Hung T. Nguyen Book 1997 Springer Science+Business Media New York 1997

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發(fā)表于 2025-3-21 19:45:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Random Sets
副標題Theory and Applicati
編輯John Goutsias,Ronald P. S. Mahler,Hung T. Nguyen
視頻videohttp://file.papertrans.cn/822/821082/821082.mp4
叢書名稱The IMA Volumes in Mathematics and its Applications
圖書封面Titlebook: Random Sets; Theory and Applicati John Goutsias,Ronald P. S. Mahler,Hung T. Nguyen Book 1997 Springer Science+Business Media New York 1997
描述This IMA Volume in Mathematics and its Applications RANDOM SETS: THEORY AND APPLICATIONS is based on the proceedings of a very successful 1996 three-day Summer Program on "Application and Theory of Random Sets." We would like to thank the scientific organizers: John Goutsias (Johns Hopkins University), Ronald P.S. Mahler (Lockheed Martin), and Hung T. Nguyen (New Mexico State University) for their excellent work as organizers of the meeting and for editing the proceedings. We also take this opportunity to thank the Army Research Office (ARO), the Office ofNaval Research (0NR), and the Eagan, MinnesotaEngineering Center ofLockheed Martin Tactical Defense Systems, whose financial support made the summer program possible. Avner Friedman Robert Gulliver v PREFACE "Later generations will regard set theory as a disease from which one has recovered. " - Henri Poincare Random set theory was independently conceived by D.G. Kendall and G. Matheron in connection with stochastic geometry. It was however G.
出版日期Book 1997
關鍵詞STATISTICA; modeling; random set theory; set theory; statistics
版次1
doihttps://doi.org/10.1007/978-1-4612-1942-2
isbn_softcover978-1-4612-7350-9
isbn_ebook978-1-4612-1942-2Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer Science+Business Media New York 1997
The information of publication is updating

書目名稱Random Sets影響因子(影響力)




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Laws of Large Numbers for Random Setsom sets are questions concerning the convergence for averages of random sets which are known as laws of large numbers. General laws of large numbers for random sets are examined in this paper with emphasis on useful characterizations for possible applications.
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https://doi.org/10.1007/978-1-4612-1942-2STATISTICA; modeling; random set theory; set theory; statistics
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Belief Functions and Random SetsThis is a tutorial about a formal connection between belief functions and random sets. It brings out the role played by random sets in the so-called theory of evidence in artificial intelligence.
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