Validating a hypothesis of the form of a correlation function of a stationary random process
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The problem of validating a statistical hypothesis stating that the correlation function of a stationary Gaussian random process possesses a specified form is considered for the case in which measurements of the process are performed at arbitrary moments of time.
KeywordsCorrelation Function Decision Rule Mathematical Expectation Statistical Hypothesis Normal Random Variable
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