Results 271 to 280 of about 609,633 (323)

Multivariate mixed models accounting for don't know options in ordinal data. [PDF]

J R Stat Soc Ser A Stat Soc
Gueorguieva R, Iannario M.
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Probabilistic norms and statistical convergence of random variables

, 2014
Mohammed Rafi S. Rahmat, Bernardo Lafuerza–Guillén   +1 more
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Machine learning unlocks robust convergence for chemical process simulations

Jakobs D, Santos LF, Guillén-Gosálbez G.   +2 more
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Convergence of Random Variables

2000
In elementary mathematics courses (such as Calculus) one speaks of the convergence of functions: f n : R → R, then limn→∞ f n = f if limn→∞ f n (x) = f(x) for all x in R. This is called pointwise convergence of functions. A random variable is of course a function (X:Ω → R for an abstract space Ω), and thus we have the same notion: a sequence X n : Ω ...
Jean Jacod, Philip Protter
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Convergence of random variables

2001
Abstract Construct an example to show that the convergence in distribution of Xn to X does not imply the convergence of the unique medians of the sequence X n.
Geoffrey R Grimmett, David R Stirzaker
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Convergence of Random Variables

2022
Iickho Song, So Ryoung Park, Seokho Yoon
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Stable Convergence of Random Variables

2015
Based on the notions and results of Chap. 2 we may now introduce and deeply investigate the mode of stable convergence of random variables.
Erich Häusler, Harald Luschgy
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Normalized convergence of random variables

Cybernetics and Systems Analysis, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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