Statistical methods work on a given number of observations or a fixed sample size for processing. Sequential analysis deals with the runtime observations or the dynamic sample size for the processing of data. Thus, a sequential analysis method depends on two rules: a stopping rule and a decision rule, having the choice to stop the observation process or to wait for another observation and, after stopping the observation, specifying estimation, detection, classification, and other operations on the data. This book discusses two theoretical tracks and several applications of sequential analysis.
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