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Asymptotic Variability Analysis for Multi-Server Generalized Jackson Network in Overloaded 被引量:1
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作者 Yong-jiang GUO 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第3期713-730,共18页
The asymptotic variability analysis is studied for multi-server generalized Jackson network. It is characterized by law of the iterated logarithm (LIL), which quantifies the magnitude of asymptotic stochastic fluctu... The asymptotic variability analysis is studied for multi-server generalized Jackson network. It is characterized by law of the iterated logarithm (LIL), which quantifies the magnitude of asymptotic stochastic fluctuations of the stochastic processes compensated by their deterministic fluid limits. In the overloaded (OL) case, the asymptotic variability is studied for five performance measures: queue length, workload, busy time, idle time and number of departures. The proof is based on strong approximations, which approximate discrete performance processes with (reflected) Brownian motions. We conduct numerical examples to provide insights on these LIL results. 展开更多
关键词 asymptotic variability generalized Jackson network (GJN) law of the iterated logarithm (LIL) strong approximation (SA)
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DISCUSSION ON″THE BOUNDEDNESS AND ASYMPTOTIC BEHAVIOR OR SOLUTION DIFFERENTIAL SYSTEM OF SECOND-ORDER WITH VARIABLE COEFFICIENT" (App1ied Mathematics and Mechanics,Vo1.3,No.4,1982)
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作者 毛士忠 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 1984年第3期1419-1423,共5页
After reading the article "The Boundedness and Asymptotic Behavior of Solution of Differential System of Second-Order with Variable Coefficient" in "Applied Mathematics and Mechanics", Vol. 3, No. ... After reading the article "The Boundedness and Asymptotic Behavior of Solution of Differential System of Second-Order with Variable Coefficient" in "Applied Mathematics and Mechanics", Vol. 3, No. 4, 1982, we would like to put forward a few points to discuss with the author and the readers. Our opinions are presented as follows: 展开更多
关键词 DISCUSSION ON THE BOUNDEDNESS AND asymptotic BEHAVIOR OR SOLUTION DIFFERENTIAL SYSTEM OF SECOND-ORDER WITH VARIABLE COEFFICIENT App1ied Mathematics and Mechanics Vo1.3 No.4 1982
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A new family of covariate-adjusted response adaptive designs and their properties 被引量:1
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作者 ZHANG Li-Xin HU Fei-fang 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2009年第1期1-13,共13页
It is often important to incorporate covariate information in the design of clinical trials. In literature there are many designs of using stratification and covariate-adaptive randomization to balance certain known c... It is often important to incorporate covariate information in the design of clinical trials. In literature there are many designs of using stratification and covariate-adaptive randomization to balance certain known covariate. Recently, some covariate-adjusted response-adaptive (CARA) designs have been proposed and their asymptotic properties have been studied (Ann. Statist. 2007). However, these CARA designs usually have high variabilities. In this paper, a new family of covariate-adjusted response-adaptive (CARA) designs is presented. It is shown that the new designs have less variables and therefore are more efficient. 展开更多
关键词 adaptive design COVARIATE EFFICIENCY asymptotic variability
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On the asymptotic independence of the sum and maximum of normal random variables
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作者 XIE ShengrongDepartment of Mathematics, Southwest-China Normal University, Chongqing 630715, China 《Chinese Science Bulletin》 SCIE EI CAS 1997年第21期1846-1846,共1页
RECENTLY, a number of papers have been published concerning the asymptotic independentproperties of V X<sub>i</sub> and sum from 1 X<sub>i</sub> of weakly dependent stationary sequence {X<su... RECENTLY, a number of papers have been published concerning the asymptotic independentproperties of V X<sub>i</sub> and sum from 1 X<sub>i</sub> of weakly dependent stationary sequence {X<sub>i</sub>}.In this letter, let {X<sub>i</sub>} be a standard normal sequence of random variables with zero meanand unit variance and write r<sub>ij</sub>=cov(X<sub>i</sub>, X<sub>j</sub>). 展开更多
关键词 On the asymptotic independence of the sum and maximum of normal random variables
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