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Introduction to Stochastic Level Crossing Techniques describes stochastic models using the System Point Level Crossing method. This involves deriving probability density functions or cumulative probability distribution functions of key random variables, applying simple level-crossing limit theorems.

This is a complete update of the first edition of Level Crossing Methods in Stochastic Models, which was published in 2008. Level crossing methods are a set of sample-path based mathematical tools used in applied probability to establish reliable probability distributions. Since the basis for solving any applied probability problem requires a reliable probability distribution, Level Crossing Methods in Stochastic Models, Second Edition is a useful tool for all researchers working on stochastic application problems, including inventory control, queueing theory, reliability theory,...