Sharp Estimates for Proximity of Geometric and Related Sums Distributions to Limit Laws
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- Irina Shevtsova & Mikhail Tselishchev, 2020. "On the Accuracy of the Exponential Approximation to Random Sums of Alternating Random Variables," Mathematics, MDPI, vol. 8(11), pages 1-11, November.
- Alison L. Gibbs & Francis Edward Su, 2002. "On Choosing and Bounding Probability Metrics," International Statistical Review, International Statistical Institute, vol. 70(3), pages 419-435, December.
- Korolev, Victor & Zeifman, Alexander, 2021. "Bounds for convergence rate in laws of large numbers for mixed Poisson random sums," Statistics & Probability Letters, Elsevier, vol. 168(C).
- Gaunt, Robert E. & Walton, Neil, 2020. "Stein’s method for the single server queue in heavy traffic," Statistics & Probability Letters, Elsevier, vol. 156(C).
- Robert E. Gaunt, 2020. "Wasserstein and Kolmogorov Error Bounds for Variance-Gamma Approximation via Stein’s Method I," Journal of Theoretical Probability, Springer, vol. 33(1), pages 465-505, March.
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Cited by:
- Gerd Christoph & Vladimir V. Ulyanov, 2023. "Second Order Chebyshev–Edgeworth-Type Approximations for Statistics Based on Random Size Samples," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
- Alexander N. Tikhomirov & Vladimir V. Ulyanov, 2023. "On the Special Issue “Limit Theorems of Probability Theory”," Mathematics, MDPI, vol. 11(17), pages 1-4, August.
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Keywords
probability metrics; Stein method; geometric sums; generalization of the Rényi theorem; generalized transformation of equilibrium for probability measures and its inverse; generalized gamma distribution;All these keywords.
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