Limit theorems for stochastic processes are an important part of
probability theory and mathematical statistics and one model that
has attracted the attention of many researchers working in the area
is that of limit theorems for randomly stopped stochastic
processes.
This volume is the first to present a state-of-the-art overview
of this field, with many of the results published for the first
time. It covers the general conditions as well as the basic
applications of the theory, and it covers and demystifies the vast,
and technically demanding, Russian literature in detail. A survey
of the literature and an extended bibliography of works in the area
are also provided.
The coverage is thorough, streamlined and arranged according to
difficulty for use as an upper-level text if required. It is an
essential reference for theoretical and applied researchers in the
fields of probability and statistics that will contribute to the
continuing extensive studies in the area and remain relevant for
years to come.
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