Rayleigh test

Ray·leigh e·qua·tion

(rā'lē),
a ratio of red to green required by each observer to match spectral yellow.
Synonym(s): Rayleigh test

Rayleigh test

An obsolete test described by Lord JWS Rayleigh (1842–1919) for colour vision based on the spectral mixing of red and green to match yellow.

Rayleigh,

Lord John W.S., English physicist and Nobel laureate, 1842-1919.
rayl - unit of acoustic impedance.
Rayleigh equation - a ratio of red to green required by each observer to match spectral yellow. Synonym(s): Rayleigh test
Rayleigh test - Synonym(s): Rayleigh equation
References in periodicals archive ?
Data relating to the distance to the hibernaculum were collated and analysed using the Rayleigh test (Fisher 1993) on log-transformed distances.
Differences in gender and asymmetry in direction were also tested using a circular regression model and Rayleigh test.
Male Female N 73 267 Length of mean 0.488 0.398 vector (radians) Mean time [+ or -] 11:15 [+ or -] 00:36 12:19 [+ or -] 00:23 SE (= mean vector) Concentration 1.116 0.868 Rayleigh test (Z) 17.40 42.38 Rayleigh test (P) 2.77 x [10.sup.-8] <1 x [10.sup.-12] 95% confidence 10:03 (150.954) & 11:32 (173.23) & interval 12:26 (186.572) 13:06 (196.603) (lower & upper) Total N 340 Length of mean 0.415 vector (radians) Mean time [+ or -] 12:03 [+ or -] 00:20 SE (= mean vector) Concentration 0.911 Rayleigh test (Z) 58.44 Rayleigh test (P) <1 x [10.sup.-12] 95% confidence 11:23 (170.969) & interval 12:43 (190.797) (lower & upper)
Based on the dates of field visits, the test generates an average vector ([mu]), its significance (Rayleigh test p), and an average vector length (r).
Considering all of the studied species, the circular analysis pointed out a significant tendency (Rayleigh test p < 0.001) for dispersal to occur in September (Figure 4).
Web orientation on trees (eight main directions) was interpreted through circular statistics using the Rayleigh test (Fisher 1993).
6B) reveal a significant (Rayleigh test, P < 0.05) preference for the northern side of trees, and the partially open canopy data (Fig.
The mean angles for each set were then tested for significance (Rayleigh test; Zar, 1999).
Rayleigh test P values (Greenwood and Durand, 1955) were calculated using a numerical integration algorithm and checked against tables in Zar (1999).
First order statistics (Rayleigh test) were employed to test for significant deviations from random distribution.
The overall data set was combined and analyzed using first- and second-order statistics, and the null hypotheses were accepted or rejected based on the Z and F test statistics (one sample Rayleigh test and one sample Hotelling's, respectively).
Rayleigh tests were used to determine if the bats in these experiments were oriented in any direction.