A characterization of the convolution of Gaussian and Poisson distributions

Author:

Kruglov Victor M.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference10 articles.

1. Csörgő, S. (2005). A probabilistic proof of Kruglov’s theorem on the tails of infinitely divisible distributions. Acta Sci. Math., 71, 405–415.

2. Kruglov, V.M. (1970). A note on the theory of infinitely divisible laws. Theory Probab. Appl., 15, 319–324.

3. Kruglov, V.M. (1972). Integrals with respect to infinitely divisible distributions in a Hilbert space. Math. Notes, 11, 407–411.

4. Kruglov, V.M. (2003). Normal and Poisson convergence. Theory Probab. Appl., 48, 392–398.

5. Kruglov, V.M. (2010). A characterization of the Poisson distribution. Statist. Probab. Lett., 80, 2032–2034.

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