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Strong Law of Large Numbers for Banach Space Valued Random Sets [PDF]
Publisher's, offprint versionIn this paper we prove a strong law of large numbers for random sets whose values are compact convex subsets of a Banach ...
Madan L Puri
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Strong Laws of Large Numbers for IVM-Events
IEEE Transactions on Fuzzy Systems, 2019Nonstandard probability theories have been developed for modeling random systems in complex spaces, such as, quantum systems. One of these theories, the MV-algebraic probability theory, involves the notions of state and observable, which were introduced by abstracting the properties of the Kolmogorovian probability measure and the classical random ...
Piotr Nowak, Olgierd Hryniewicz
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The Strong Law of Large Numbers
199615.1 This section gives some fundamental definitions in the theory of probability, such as the definitions of a probability space and a random variable.
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The Strong Law of Large Numbers
1994Abstract This chapter focuses largely on methods of proof of the strong law, building on the fundamental convergence lemma. It covers Kolmogorov's three‐series theorem, strong laws for martingales, and random weighting. Then a range of strong laws are proved for mixingales and for near‐epoch dependent and mixing processes.
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On the Strong Law of Large Numbers
Theory of Probability & Its Applications, 1976Nagaev, S. V., Volodin, N. A.
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On The Strong Law of Large Numbers
1992Let be a sequence of independent random variables with zero expectations E(x n ). Following Cantelli and Khinchin we say that (1) satisfies the strong law of large numbers (SLLN) if the probability of convergence to zero of the means is equal to 1.
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On Uniform Versions of the Strong Law of Large Numbers
Mathematische Nachrichten, 1989For non-negative bounded weights \(p_ 1\), \(p_ 2,..\).
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A Remark on the Strong Law of Large Numbers
Theory of Probability & Its Applications, 1978Volodin, N. A., Nagaev, S. V.
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The Economic Impact of Clean Indoor Air Laws†
Ca-A Cancer Journal for Clinicians, 2007Frank Chaloupka
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