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Fisher transformation
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==Other uses== While the Fisher transformation is mainly associated with the [[Pearson product-moment correlation coefficient]] for bivariate normal observations, it can also be applied to [[Spearman's rank correlation coefficient]] in more general cases.<ref>{{cite encyclopedia|last=Zar | first= Jerrold H. | year=2005| title=Spearman Rank Correlation: Overview | encyclopedia=Encyclopedia of Biostatistics| doi= 10.1002/9781118445112.stat05964 | isbn= 9781118445112 }}</ref> A similar result for the [[asymptotic distribution]] applies, but with a minor adjustment factor: see the cited article for details.
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