Abstract
A useful tool in sequential analysis is Anscombe’s theorem. It asserts that asymptotic normality of standardized sums persists when n is replaced by a random index Tn, provided that Tn/n converges in probability to a finite constant. To obtain moment convergence in Anscombe’s theorem one needs uniform integrability results for standardized random sums, and we investigate this question of uniform integrability in the case of martingale differences.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Babu, G.J., Ghosh, M. (1976). A random functional central limit theorem for martingales. Acta Math. Acad. Sci. Hung. 27, 301–306.
Chow, Y.S., Hsiung, C., Lai, T.L. (1979). Extended renewal theory and moment convergence in Anscombe’s theorem. Ann. Prob. 7, 304–318.
Chow, Y.S., Teicher, H. (1978). Probability Theory. Springer-Verlag.
Chow, Y.S., Yu, K.F. (1981). The performance of a sequential procedure for the estimation of the mean. Ann. Statist.9, 184–189.
Gänssler, P., Stute, W. (1977). Wahrscheinlichkeitstheorie. Springer-Verlag.’
Woodroofe, M. (1982). Nonlinear Renewal Theory in Sequential Analysis, SIAM.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1987 D. Reidel Publishing Company
About this chapter
Cite this chapter
Irle, A. (1987). Uniform Integrability in Anscombe’s Theorem for Martingales. In: Puri, M.L., Révész, P., Wertz, W. (eds) Mathematical Statistics and Probability Theory. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3963-9_14
Download citation
DOI: https://doi.org/10.1007/978-94-009-3963-9_14
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8258-7
Online ISBN: 978-94-009-3963-9
eBook Packages: Springer Book Archive