Results 131 to 140 of about 1,716 (184)

ON MAUTNER'S EIGENFUNCTION EXPANSION. [PDF]

open access: yesProc Natl Acad Sci U S A, 1956
Bade WG, Schwartz JT.
europepmc   +1 more source

Note on a Metrically Transitive System. [PDF]

open access: yesProc Natl Acad Sci U S A, 1933
Seidel W.
europepmc   +1 more source

Testing the Correlated Random Coefficient Model. [PDF]

open access: yesJ Econom, 2010
Heckman JJ, Schmierer D, Urzua S.
europepmc   +1 more source

Fubini Theorems for Capacities

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2016
Capacity plays an important role in many areas. A capacity is usually studied under the assumption that it is concave (or convex). In this paper, we perform a further investigation on the Fubini Theorems for concave (or convex) capacities given by Ghirardato (1997) and Chateauneuf and Lefort (2008). We extend Fubini Theorems for capacities to a larger
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The fubini theorems of stochastic measures

Acta Mathematicae Applicatae Sinica, 1988
Suppose that (S,\(\Sigma)\) is a measurable space, E a Banach space, and Z a vector measure on \(\Sigma\) with values in the dual E' of E. If \(f: S\to E\) is a simple function of the form \(f=\sum^{n}_{i=1}x_ i 1_{A_ i}\) \((x_ i\in E\), \(A_ i\in \Sigma\) disjoint), it is natural to define the integral of f relative to Z by \[ \int f dZ:=\sum^{n}_{i ...
Jiang, Tao, Xiong, Zhengxin, Chen, Peide
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Cartan-Fubini Type Extension Theorems

Acta Mathematica Vietnamica, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On The Stochastic Fubini Theorem

Stochastics and Stochastic Reports, 1995
The stochastic Fubini theorem, which concerns the interchangeability of the stochastic and ordinary integrals of an integrand depending on a parameter, holds under a condition more general and natural that the one provided by Protter [2].
K. Bichteler, S.J. Lin
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Fubini’s Theorem

1971
Linear Lebesgue measure is defined by covering sequences of intervals, and plane measure by covering sequences of rectangles. We shall now consider how these measures are related to each other. It is clear what kind of answer we should expect. In elementary calculus we learn to compute the area between the graphs of two functions f ≦ g by the formula
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The Fubini Theorem

1978
The Fubini theorem belongs to the most powerful tools in Analysis. It is very useful in practical calculations and, besides, plays a striking role in proving several important theorems on integration. The Fubini theorem establishes a connection between the so called double integrals and repeated integrals.
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