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In the past two decades the coupling method has developed as an essential tool in probability theory. Very successful in the study of Markov and renewal process asymptotics, its range of applications is rapidly growing. This comprehensive account discusses the wide extent of uses from Poisson approximation of weakly dependent 0-1 variables to monotonicity of power functions concerning statistical tests. Contains numerous simple examples.
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