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Recently, a new class of correlation functions, called Forrelation, has been introduced by Aaronson and Ambainis for studying the query complexity of quantum devices.
For each class of correlation combinations (saturated:saturated, saturated:unsaturated, unsaturated: unsaturated), the relative numbers of significant positive and negative correlations did not differ from a null expectation of equal numbers whether the data were analyzed by growing temperature or by lumping across growing temperatures (x, G-test, Fisher's exact test: q ≥ 0.842, BH-FDR ≥ 0.897).
For each class of correlation combinations (saturated:saturated, saturated:unsaturated, unsaturated:unsaturated), the relative numbers of significant positive and negative correlations did not differ from a null expectation of equal numbers whether the data were analyzed by growing temperature or by lumping across growing temperatures (x, G-test, and Fisher's exact test: q ≥ 0.298, BH-FDR ≥ 0.298).
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First, there is a class of correlation-based models [58], [59].
Results on standard face databases have established that the performance of proposed correlator is better and more robust than the other existing classes of correlation filters.
Repeated measurements allowed calculation of coefficients of variation (CV) for AAA size (16%, intra-class coefficient of correlation: 0.88) and thrombus size (10%, intra-class coefficient of correlation: 0.85).
Biological and technical repeatability were estimated higher than 87% and 96% respectively using parental strain replicate by the intra-class coefficient of correlation [ 67].
There is a clear correlation between the average proliferation signature score and the three classes of MI (correlation coefficient: 0.968).
The numbers were used both for identification of gene groups for each class, and for calculation of correlation coefficients.
Thirty four size categories of fibers were arbitrarily grouped into 11 categories, and coefficients of correlation between classes of dimensions and pleural tumors were calculated.
We computed a sample size for proportion in an unmatched study with 80% power, a one sided alpha of 0.05, and an Inter Class Correlation of 0.0025.
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