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Decompounding: an estimation problem for Poisson random sums. (English) Zbl 1105.62309

Summary: Given a sample from a compound Poisson distribution, we consider estimation of the corresponding rate parameter and base distribution. This has applications in insurance mathematics and queueing theory. We propose a plug-in type estimator that is based on a suitable inversion of the compounding operation. Asymptotic results for this estimator are obtained via a local analysis of the decompounding functional.

MSC:

62F15 Bayesian inference
62P05 Applications of statistics to actuarial sciences and financial mathematics
62M99 Inference from stochastic processes

References:

[1] ASMUSSEN, S. (1987). Applied Probability and Queues. Wiley, Chichester. · Zbl 0624.60098
[2] ASMUSSEN, S. (1989). Risk theory in a Markovian environment. Scand. Actuarial J. 69-100. · Zbl 0684.62073 · doi:10.1080/03461238.1989.10413858
[3] BEARD, R. E., PENTIKÄINEN, T. and PESONEN, E. (1984). Risk Theory: The Stochastic Basis of Insurance, 3rd ed. Chapman and Hall, London. · Zbl 0532.62081
[4] BHAT, U. N., MILLER, G. K. and SUBBA RAO, S. (1997). Statistical analysis of queueing sy stems. In Frontiers in Queueing (J. H. Dshalalow, ed.) 351-394. CRC Press, Boca Raton, FL. · Zbl 0871.62069
[5] BILLINGSLEY, P. (1968). Convergence of Probability Measures. Wiley, New York. · Zbl 0172.21201
[6] BUCHMANN, B. (2001). Decompounding: An estimation problem for the compound Poisson distribution. Ph.D. thesis, Univ. Hannover.
[7] DUDLEY, R. M. (1999). Uniform Central Limit Theorems. Cambridge Univ. Press. · Zbl 0951.60033
[8] EMBRECHTS, P., GRÜBEL, R. and PITTS, S. M. (1993). Some applications of the fast Fourier transform algorithm in insurance mathematics. Statist. Neerlandica 47 59-75. · Zbl 0764.62089 · doi:10.1111/j.1467-9574.1993.tb01406.x
[9] GRANDELL, J. (1991). Aspects of Risk Theory. Springer, New York. · Zbl 0717.62100
[10] GRÜBEL, R. and HERMESMEIER, R. (1999). Computation of compound distributions. I. Aliasing errors and exponential tilting. ASTIN Bulletin 29 197-214.
[11] GRÜBEL, R. and PITTS, S. M. (1993). Nonparametric estimation in renewal theory. I. The empirical renewal function. Ann. Statist. 21 1431-1451. · Zbl 0818.62037 · doi:10.1214/aos/1176349266
[12] GRÜBEL, R. and PITTS, S. M. (2000). Statistical aspects of perpetuities. J. Multivariate Anal. 75 143-162. · Zbl 0981.62029 · doi:10.1006/jmva.2000.1890
[13] JOHNSON, N. L., KOTZ, S. and KEMP, A. W. (1992). Univariate Discrete Distributions, 2nd ed. Wiley, New York.
[14] KARR, A. F. (1986). Point Processes and Their Statistical Inference. Dekker, New York. · Zbl 0601.62120
[15] KLAR, B. (1999). Goodness-of-fit tests for discrete models based on the integrated distribution function. Metrika 49 53-69. · Zbl 1093.62533 · doi:10.1007/s001840050025
[16] PITTS, S. M. (1994a). Nonparametric estimation of compound distributions with applications in insurance. Ann. Inst. Statist. Math. 46 537-555. · Zbl 0817.62024
[17] PITTS, S. M. (1994b). Nonparametric estimation of the stationary waiting time distribution function for the GI/G/1 queue. Ann. Statist. 22 1428-1446. · Zbl 0824.60095 · doi:10.1214/aos/1176325635
[18] POLITIS, K. and PITTS, S. M. (2000). Nonparametric estimation in renewal theory. II. Solutions of renewal-ty pe equations. Ann. Statist. 28 88-115. · Zbl 1106.60311 · doi:10.1214/aos/1016120366
[19] POLLARD, D. (1984). Convergence of Stochastic Processes. Springer, New York. · Zbl 0544.60045
[20] QUINE, M. P. and SENETA, E. (1987). Bortkiewicz’s data and the law of small numbers. Int. Statist. Rev. 55 173-181. JSTOR: · Zbl 0622.62003 · doi:10.2307/1403193
[21] SHORACK, G. R. and WELLNER, J. A. (1986). Empirical Processes with Applications to Statistics. Wiley, New York. · Zbl 1170.62365
[22] VAN DER VAART, A. W. and WELLNER, J. A. (1996). Weak Convergence and Empirical Processes. Springer, Berlin. · Zbl 0862.60002
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