A pointwise limit theorem for counting processes of perturbed random walks with an application to repeated significance tests. Issue 2 (3rd April 2017)

• Record Type: Journal Article
• Authors: Gut, Allan; Stadtmüller, Ulrich
• Is Part Of: Sequential analysis. Volume 36:Issue 2(2017)
• Page Start: 290
• Page End: 298
• Publication Date: 2017-04-03
• Subjects: Counting process -- perturbed random walk -- repeated significance test -- sequential analysis -- weak convergence; 60F15 -- 60G50 -- 62L10 -- 60K05; Sequential analysis -- Periodicals; 519.54
• DOI: 10.1080/07474946.2017.1319692
• Languages: English
• ISSNs: 0747-4946

Abstract

ABSTRACT: Hsu and Robbins (1947 ) introduced the concept of complete convergence as a complement to the Kolmogorov strong law in that they proved that provided the mean of the summands is zero and that the variance is finite. Later, Erdős proved the necessity (1949, 1950 ). Heyde (1975 ) proved that, under the same conditions, , thereby opening an area of research that has been called precise asymptotics . Both results above have been extended and generalized in various directions. Kao (1978 ) proved a pointwise version of Heyde's result, viz. for the counting process, he showed that, where W (⋅) is the standard Wiener process. In this article, we prove an analog for perturbed random walks and illustrate how they enter naturally within the theory of repeated significance tests in exponential families.