Fig. 8 Comparative errors in global solar radiation estimation of different methods.
Standard error computations for comparative statistics also took into account correlation between trial arms.
20 Standard error computations for comparative statistics took into account the high correlation between trial arms, which results from simulating identical populations for each arm.
Thus, further restriction of the dataset (e.g. to EEG only data [ 3, 4]) would appear unnecessary for comparative analyses, as any remaining measurement error is small relative to the wide variation in sleep durations between different species.
While the bivariate probit model is preferred, Table 2 also reports the estimates obtained through the standard probit and IV-probit models for comparative purposes.4 We present marginal effects, clustered standard errors, and number of observations for each model.
This is sufficient for comparative studies assessing differences between 2 groups, and if desired, the systematic error can be corrected for.
For comparative purposes, a 95%% confidence level is used (i.e., the nominal type I error probability is 5%%) and the normal distribution is also included in the study.
Otherwise they will not be useful for comparative purposes.
Some Italian artworks have been included for comparative purposes.
This also asks for comparative research.
