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bbcorrdiff: Bootstrap statistics for the difference of correlation coefficients 1.0

  Date Added: September 10, 2013  |  Visits: 344

bbcorrdiff: Bootstrap statistics for the difference of correlation coefficients

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This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2), where r1 is the Pearson correlation coefficient between columns 1 and 2 of the input matrix and r2 is the correlation coefficient between columns 3 and 4. z1 and z2 denote Fisher's z of r1 and r2 respectively.References:-Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall.-BdoDshlmann, P. and M. MdoTAchler (2008): Computational Statistics, Lecture Notes, ETH Zurich.No Matlab toolboxes are required.

Requirements: No special requirements
Platforms: Matlab
Keyword: Bootstrap Chapman Denote Efron Fisher Introduction Matrix References Tibshirani
Users rating: 0/10

License: Shareware Size: 10 KB
BBCORRDIFF: BOOTSTRAP STATISTICS FOR THE DIFFERENCE OF CORRELATION COEFFICIENTS RELATED
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