Sequential statistical hypotheses testing for discrete random data with block structure
Keywords:
discrete random data, block structure, simple hypotheses, sequential statistical test, error probability, mathematical expectation of the random number of observations, asymptotic expansionsAbstract
An important mathematical problem of computer data analysis – the problem of sequential statistical testing of simple hypotheses on probability distributions of discrete random data with a block structure – is considered. Explicit expressions of the sequential tests statistics, transparent for interpretation and convenient for computer realisation, are derived. An approach to calculate the performance characteristics – error probabilities of the decisions and mathematical expectations of the random number of observations required to guarantee the requested accuracy for decision rules – is developed. Asymptotic expansions for the mentioned performance characteristics under distortion of the hypothetical probability model are constructed.
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