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A New Interval Belief Rule Base Model Based on Hybrid Optimization and Adaptive Reference Intervals for Diesel Engine Health State Assessment. [PDF]

Sensors (Basel)
Zheng H, Xu B, Zhao M, Du H, He W.
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On the Weak Convergence of Probability Measures in Orlicz Spaces

Theory of Probability and Its Applications, 1996
Necessary and sufficient conditions for weak convergence of probability measures in separable Orlicz spaces in terms of characteristic functionals and norm moments are given.
exaly   +3 more sources

CONVERGENCE OF PROBABILITY MEASURES

Bulletin of the London Mathematical Society, 1970
Weak Convergence in Metric Spaces. The Space C. The Space D. Dependent Variables. Other Modes of Convergence. Appendix. Some Notes on the Problems. Bibliographical Notes. Bibliography. Index.
James L. Snell, P. Billingsley
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Convergence of Probability Measures

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1969
Convergence of Probability Measures. By P. Billingsley. Chichester, Sussex, Wiley, 1968. xii, 253 p. 9 1/4“. 117s.
J. F. C. Kingman, P. Billingsley
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On the Convergence in Probability of Random Sets (Measurable Multifunctions)

Mathematics of Operations Research, 1986
It is shown that the convergence in probability of random sets introduced by Salinetti and Wets is consistent with the more standard definitions of convergence in probability, and is metric invariant.
G. Salinetti, W. Vervaat, Roger J.-B. Wets   +2 more
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Almost sure weak convergence of random probability measures

Stochastics, 2006
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: (i) mn/m (weakly) a.s. for some random probability measure m on S; (ii) mn(f) converges a.s. for all f2Cb(S).
Patrizia Berti, Luca Pratelli, Pietro Rigo   +2 more
exaly   +1 more source

A note on convergence of probability measures

Journal of Applied Probability, 2001
We present, discuss and prove an apparently unfamiliar result in the convergence of probability measures.
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Weak Convergence of Probability Measures

1978
The methods of the theory of weak convergence of probability measures are of wide use in many areas of applications to statistics, operations research and stochastic control theory, where it is convenient or useful to approximate a process by a sequence of other processes or vice versa.
Harold J. Kushner, Dean S. Clark
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On Weak Convergence of Probability Measures in a Banach Space

Journal of Mathematical Sciences, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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