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This article is cited in 21 scientific papers (total in 21 papers)
New checkable conditions for moment determinacy of probability distributions
J. M. Stoyanova, G. D. Linbc, P. Kopanovd a Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
b Social and Data Science Research Center, Hwa-Kang Xing-Ye Foundation, Taipei
c Institute of Statistical Science, Academia Sinica, Taipei, Taiwan (Republic of China)
d Faculty of Mathematics and Informatics, Plovdiv University "Paisii Hilendarski", Plovdiv, Bulgaria
Abstract:
We have analyzed some conditions which are essentially involved in deciding
whether or not a probability distribution is unique (moment-determinate) or
nonunique (moment-indeterminate) by its moments. We suggest new
conditions concerning both absolutely continuous and discrete distributions. By
using the new conditions, which are easily checkable, we either establish new
results or extend previous ones in both the Hamburger case (distributions on the
whole real line) and the Stieltjes case (distributions on the positive
half-line). Specific examples illustrate the results as well as the relationship
between the new conditions and previously available conditions.
Keywords:
probability distributions, moments, Stieltjes moment problem, Hamburger moment problem, Carleman's condition, Krein's condition, condition (L).
Received: 30.11.2018 Revised: 09.07.2019 Accepted: 18.07.2019
Citation:
J. M. Stoyanov, G. D. Lin, P. Kopanov, “New checkable conditions for moment determinacy of probability distributions”, Teor. Veroyatnost. i Primenen., 65:3 (2020), 634–648; Theory Probab. Appl., 65:3 (2020), 497–509
Linking options:
https://www.mathnet.ru/eng/tvp5278https://doi.org/10.4213/tvp5278 https://www.mathnet.ru/eng/tvp/v65/i3/p634
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