Convergence of weighted partial sums when the limiting distribution is not necessarily Radon

Author:

Csörgő Miklós,Norvaiša Rimas,Szyszkowicz Barbara

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference31 articles.

1. The central limit theorem for stochastic processes;Andersen;Ann. Probab.,1987

2. On invariance principles with limit processes satisfying strong laws;Bauer;Z. Wahrsch. Verw. Gebiete,1981

3. Convergence of distributions of functionals of random sequences and processes defined on the real line;Borovkov;Proc. Steklov Inst. Math.,1972

4. Remarks on convergence of random processes in non-separable metric spaces and on the non-existence of a Borel measure for processes in C(0,∞ );Borovkov;Theory Probab. Appl.,1973

5. Weighted empirical and quantile processes;Csörgő;Ann. Probab.,1986

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