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Abstrakty
Lower bounds for the second order Poisson, compound Poisson, negative binomial and binomial approximations to the sum of 1-dependent random variables are obtained for the Kolmogorov and local metrics. The results are then applied to sums of independent indicators and runs statistics.
Czasopismo
Rocznik
Tom
Strony
23--35
Opis fizyczny
Bibliogr. 11 poz.
Twórcy
autor
- Department of Mathematics and Informatics, Vilnius University, Naugarduko 24, Vilnius 03225, Lithuania
autor
- Department of Mathematics, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
Bibliografia
- [1] A. D. Barbour and V. Čekanavičius, Total variation asymptotics for sums of independent integer random variables, Ann. Probab. 30 (2002), 509-545.
- [2] A. D. Barbour, L. Holst and S. Janson, Poisson Approximation, Clarendon Press, Oxford, 1992.
- [3] V. Čekanavičius, Approximation Methods in Probability Theory, Universitext, Springer, 2016.
- [4] V. Čekanavičius and B. Roos, Two-parametric compound binomial approximations, Lithuanian Math. J. 44 (2004), 354-373.
- [5] V. Čekanavičius and P. Vellaisamy, Discrete approximations for sums of m-dependent random variables, ALEA Latin Amer. J. Probab. Math. Statist. 12 (2015), 765-792.
- [6] W. T. Huang and C. S. Tsai, On a modified binomial distribution of order k, Statist. Probab. Lett. 11 (1991), 125-131.
- [7] J. Kruopis, Precision of approximation of the generalized binomial distribution by convolutions of Poisson measures, Lithuanian Math. J. 26 (1986), 37-49.
- [8] B. Roos, Poisson approximation via the convolution with Kornya-Presman signed measures, Theory Probab. Appl. 48 (2004), 555-560.
- [9] S. Y. T. Soon, Binomial approximation for dependent indicators, Statist. Sinica 6 (1996), 703-714.
- [10] P. Vellaisamy, Poisson approximation for (k1, k2) events via the Stein-Chen method, J. Appl. Probab. 41 (2004), 1081-1092.
- [11] X. Wang and A. Xia, On negative binomial approximation to k-runs, J. Appl. Probab. 45 (2008), 456-471.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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