释义 |
Correlation Coefficient--Gaussian Bivariate DistributionFor a Gaussian Bivariate Distribution, the distribution of correlation Coefficients is given by
where is the population correlation Coefficient, is a Hypergeometric Function, and is the Gamma Function (Kenney and Keeping 1951, pp. 217-221). The Moments are
where . If the variates are uncorrelated, then and
so
But from the Legendre Duplication Formula,
 | (7) |
so
The uncorrelated case can be derived more simply by letting be the true slope, so that . Then
 | (9) |
is distributed as Student's t-Distribution with Degrees ofFreedom. Let the population regression Coefficient be 0, then , so
 | (10) |
and the distribution is
 | (11) |
Plugging in for and using
gives
so
 | (14) |
as before. See Bevington (1969, pp. 122-123) or Pugh and Winslow (1966, §12-8). If we are interested instead in theprobability that a correlation Coefficient would be obtained , where is the observed Coefficient, then
Let . For Even , the exponent is an Integer so, by the Binomial Theorem,
 | (16) |
and
For Odd , the integral is
Let so , then
But is Odd, so is Even. Therefore
Combining with the result from the Cosine Integral gives
 | (21) |
Use
 | (22) |
and define , then
 | (23) |
(In Bevington 1969, this is given incorrectly.) Combining the correct solutions
 | (24) |
If , a skew distribution is obtained, but the variable defined by
 | (25) |
is approximately normal with
(Kenney and Keeping 1962, p. 266).
Let be the slope of a best-fit line, then the multiple correlation Coefficient is
 | (28) |
where is the sample Variance.
On the surface of a Sphere,
 | (29) |
where is a differential Solid Angle.This definition guarantees that . If and are expanded in Real Spherical Harmonics,
Then
 | (32) |
The confidence levels are then given by
where
 | (33) |
(Eckhardt 1984).See also Fisher's z'-Transformation, Spearman Rank Correlation Coefficient,Spherical Harmonic References
Bevington, P. R. Data Reduction and Error Analysis for the Physical Sciences. New York: McGraw-Hill, 1969.Eckhardt, D. H. ``Correlations Between Global Features of Terrestrial Fields.'' Math. Geology 16, 155-171, 1984. Kenney, J. F. and Keeping, E. S. Mathematics of Statistics, Pt. 1, 3rd ed. Princeton, NJ: Van Nostrand, 1962. Kenney, J. F. and Keeping, E. S. Mathematics of Statistics, Pt. 2, 2nd ed. Princeton, NJ: Van Nostrand, 1951. Pugh, E. M. and Winslow, G. H. The Analysis of Physical Measurements. Reading, MA: Addison-Wesley, 1966. |