Sentence examples for mean model p from inspiring English sources
For 2001 to 2099, the mean model p value over all sites was <0.001 for all varieties.
A value close to zero means that the prediction model P i is practically useless, performing little better than a mere random guess.
By using the mean model and default filtering parameter (p value threshold < 0.67), the searching process identified five groups of genes which had very similar periodic expression patterns).
This is significantly lower than the mean of the composite 18-covariate model (P < 10-10) and significantly higher than the mean of the 14-covariate protein model (P < 10-10).
Using the maximum likelihood estimation (MLE) coupled with the EM-algorithm ([Dempster et al. 1977]), Pepe et al. ([1994]) proposed the mean score method for the regression model P β (Y|X) when both X and A are discrete.
We found that for the shifting means model, –LOG(P) performed better than SD(T) did; however, for the outliers model, the identification efficacy was better for SD T).
Table 8 Tukey's test for strain B in the FEA models Models Mean difference P value Straight B-offset −402.94 0.007 Straight L-offset −323.79 0.029 B-offset L-offset 79.16 0.772 Table 9 Tukey's test for strain L in the FEA models Models Mean difference P value Straight B-offset −58.94 0.855 Straight L-offset 270.67 0.061 B-offset L-offset 329.61 0.020.
Table 5 Tukey's test for strain B in the experimental models Models Mean difference P value Straight B-offset 1524.82 0.044 Straight L-offset −503.40 0.670 B-offset L-offset −2028.22 0.007 Table 6 Tukey's test for strain L in the experimental models Models Mean difference P value Straight B-offset −25.14 0.999 Straight L-offset 168.04 0.948 B-offset L-offset 193.18 0.932.
The Q-test of heterogeneity was not significant and then the original SIRs were pooled by means of the random-effect models (P < 0.001, I = 96.8%).
Fellow model Ping Hue wasn't impressed.
