A Lower Confidence Limit for the Multiple Correlation Coefficient
We introduce a notion of the best monotonic lower confidence limit for unknown parameter of distribution. Its existence is proved for the multiple correlation coefficient in the case of the normal law. An effective method of computing such a limit is described.
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