作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-21 23:38
Univariate Stochastic Orders,at are considered in this chapter are the usual stochastic order ≤., the hazard rate order ≤., and the likelihood ratio order ≤.. Some variations of these orders, and some related orders, are also examined in this chapter.作者: Limited 時(shí)間: 2025-3-22 03:22
Mean Residual Life Orders,the orders here is to compare the “l(fā)ocation” or the “magnitude” of random variables. Among other things, the relationship between the orders of Chapter 1 and the orders in this chapter will be analyzed.作者: 記憶 時(shí)間: 2025-3-22 08:23 作者: 簡(jiǎn)略 時(shí)間: 2025-3-22 10:49 作者: 蝕刻術(shù) 時(shí)間: 2025-3-22 16:15
The Laplace Transform and Related Orders,Laplace transform order compares random variables according to both their “l(fā)ocation” and their “spread”. Two other useful orders, based on ratios of Laplace transforms, are also discussed in this chapter. In addition, some other related orders are investigated in this chapter as well.作者: DALLY 時(shí)間: 2025-3-22 19:38 作者: 問(wèn)到了燒瓶 時(shí)間: 2025-3-22 23:47
Multivariate Variability and Related Orders, common orders that are studied in this chapter are the increasing and the directional convex and concave orders. Multivariate extensions of the order ≤. are also studied in this chapter. Some multivariate extensions of the transform orders, and of the Laplace transform order, are investigated in th作者: 付出 時(shí)間: 2025-3-23 04:45 作者: TAG 時(shí)間: 2025-3-23 09:04 作者: GULLY 時(shí)間: 2025-3-23 13:04
Univariate Monotone Convex and Related Orders,transform orders that are studied here, that is, the convex, the star, and the superadditive orders, are of interest in many theoretical and practical applications. In addition, some other related orders are investigated in this chapter as well.作者: Commonwealth 時(shí)間: 2025-3-23 14:29
Stochastic Convexity and Concavity,rious notions of stochastic convexity and concavity are reviewed. A multivariate extension of the notion of stochastic convexity, namely, stochastic directional convexity, is investigated in this chapter as well.作者: genuine 時(shí)間: 2025-3-23 20:50
Book 2007ored further...This book is an ideal reference for anyone interested in decision making under uncertainty and interested in the analysis of complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications..作者: 輕率看法 時(shí)間: 2025-3-23 23:48 作者: ornithology 時(shí)間: 2025-3-24 05:20
Positive Dependence Orders,rchers to introduce various notions of positive dependence orders. These orders are designed to compare the strength of the positive dependence of the two underlying bivariate distributions. In this chapter we describe some such notions.作者: 實(shí)現(xiàn) 時(shí)間: 2025-3-24 08:26 作者: panorama 時(shí)間: 2025-3-24 11:08
978-1-4419-2195-6Springer-Verlag New York 2007作者: Offensive 時(shí)間: 2025-3-24 15:50
Stochastic Orders978-0-387-34675-5Series ISSN 0172-7397 Series E-ISSN 2197-568X 作者: 陶醉 時(shí)間: 2025-3-24 20:48 作者: 受人支配 時(shí)間: 2025-3-25 01:19 作者: Seizure 時(shí)間: 2025-3-25 07:15 作者: ARBOR 時(shí)間: 2025-3-25 10:38
The Laplace Transform and Related Orders,Laplace transform order compares random variables according to both their “l(fā)ocation” and their “spread”. Two other useful orders, based on ratios of Laplace transforms, are also discussed in this chapter. In addition, some other related orders are investigated in this chapter as well.作者: CHANT 時(shí)間: 2025-3-25 15:38
Multivariate Variability and Related Orders, common orders that are studied in this chapter are the increasing and the directional convex and concave orders. Multivariate extensions of the order ≤. are also studied in this chapter. Some multivariate extensions of the transform orders, and of the Laplace transform order, are investigated in this chapter as well.作者: 最有利 時(shí)間: 2025-3-25 19:12
Moshe Shaked,J. George ShanthikumarA major extension of the first six chapters in Shaked and Shanthikumar‘s 1994 book.Since 1994, the theory of stochastic orders has grown significantly作者: Vasoconstrictor 時(shí)間: 2025-3-25 21:20
Springer Series in Statisticshttp://image.papertrans.cn/s/image/878069.jpg作者: NUL 時(shí)間: 2025-3-26 00:57
https://doi.org/10.1007/978-0-387-34675-5Convexity; Monotone; decision making; form; management; operations research; statistics; stochastic systems作者: 抵押貸款 時(shí)間: 2025-3-26 07:19
ilable on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) 978-3-030-00337-1978-3-030-00338-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Ingredient 時(shí)間: 2025-3-26 10:06 作者: SYN 時(shí)間: 2025-3-26 15:56
0172-7397 complex stochastic systems. It is suitable as a text for advanced graduate course on stochastic ordering and applications..978-1-4419-2195-6978-0-387-34675-5Series ISSN 0172-7397 Series E-ISSN 2197-568X 作者: orthopedist 時(shí)間: 2025-3-26 17:45
egation) to naturally capture data analytics tasks, but at the same time carefully restricts the interaction of recursion and arithmetic to preserve decidability of reasoning. We concentrate on the positive language, but also discuss several generalisations and fragments of positive Limit Datalog, w作者: Diastole 時(shí)間: 2025-3-26 21:08 作者: 表狀態(tài) 時(shí)間: 2025-3-27 03:05 作者: 抱怨 時(shí)間: 2025-3-27 08:00
guages; in Part?2, we discuss both classical inconsistency-tolerant semantics for ontological query answering based on the concept of repair and other semantics that aim towards more flexible yet principled ways to handle inconsistency. Finally, in both parts we ponder the issue of deriving differen作者: 人造 時(shí)間: 2025-3-27 09:36
guages; in Part?2, we discuss both classical inconsistency-tolerant semantics for ontological query answering based on the concept of repair and other semantics that aim towards more flexible yet principled ways to handle inconsistency. Finally, in both parts we ponder the issue of deriving differen作者: hypertension 時(shí)間: 2025-3-27 13:53 作者: 易受刺激 時(shí)間: 2025-3-27 18:15
e infrastructures for data storage and indexing, they couple the data computation with probabilistic inference, the latter of which remains a #P-hard problem also in the context of PDBs..In this chapter, we provide a review on the key concepts of PDBs with a particular focus on our own recent resear作者: VAN 時(shí)間: 2025-3-28 01:00
of data linkage in Linked Data as a reasoning problem on possibly decentralized data. We also explain how it makes possible to efficiently extract expressive modules from Semantic Web ontologies and databases with formal guarantees, whilst effectively controlling their succinctness. Experiments cond作者: ARM 時(shí)間: 2025-3-28 04:52 作者: harmony 時(shí)間: 2025-3-28 10:16
cent years there has been a significant shift towards declarative solutions, where the definition of the task is clearly separated from its implementation, and users describe what the desired output is, rather than how to compute it. For example, instead of computing shortest paths in a graph by a c作者: Hay-Fever 時(shí)間: 2025-3-28 13:16
erest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecture作者: 小步走路 時(shí)間: 2025-3-28 17:19 作者: 懶惰人民 時(shí)間: 2025-3-28 22:36 作者: facetious 時(shí)間: 2025-3-29 01:01 作者: 本土 時(shí)間: 2025-3-29 06:48
orials cover logical foundations for constructing and queryi.This volume contains lecture notes of the 14th Reasoning Web Summer School (RW 2018), held in Esch-sur-Alzette, Luxembourg, in September 2018...The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently ?received a作者: GROG 時(shí)間: 2025-3-29 08:50 作者: 講個(gè)故事逗他 時(shí)間: 2025-3-29 14:22 作者: misshapen 時(shí)間: 2025-3-29 18:59
on rules to process Select-Project-Join (SPJ) queries, which form the basis for a variety of declarative query languages such as Datalog, Relational Algebra, and SQL. They employ logical consistency constraints to resolve data inconsistencies, and they represent query answers via logical lineage for
