Related Experiment Video
Updated: Jul 10, 2026

Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
Published on: August 2, 2018
Combined maximum likelihood estimates for the equicorrelation coefficient
1Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago 60612-7243.
Abstract:
Combined maximum likelihood estimates for equicorrelation covariance matrices are considered. The case of a common equicorrelation rho and possibly different standard deviations sigma 1, ..., sigma k among k experimental groups is examined first, and the estimation of (rho, sigma 1, ..., sigma k) is discussed. Second, under the assumption of a common standard deviation and possibly different equicorrelations, the estimation of (rho 1, ..., rho k, sigma) is considered. In each case, maximum likelihood solutions and corresponding large-sample variances are presented.
Related Concept Videos
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the strength of the linear...
Calculating and Interpreting the Linear Correlation Coefficient
Calibration Curves: Correlation Coefficient
Correlation and Regression
Correlation of Experimental Data
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...
Microsoft Excel: Pearson's Correlation

