Data analysis was done by employing percentage and frequency distribution, mean scores, standard deviation, dependent t-test, independent t-test statistics and Cohen's d.
Improvement of temporal resolution inherently decreases the count accuracy per time frame, since the (approximate) Poisson distribution of count statistics (for prompt coincidences) dictates a relative standard deviation dependent on the inverse square root of the observed counts.
It was previously observed (e.g. Anders and Huber, 2010; Drewe et al., 2012) that a negative binomial distribution with a standard deviation dependent on the mean of the observation is a better model for the distribution of read count data.
Up to now, there are two types of frequency-deviation-dependent natural inertial response: fixed-droop control and variable-droop control [47, 48].
See, for example, Liu [4] obtained the precise large deviations for dependent random variables with heavy tails.
Liu [5] studied the sufficient and necessary conditions of moderate deviations for dependent random variables with heavy tails.
Further investigations of different delamination configurations show that the modal frequency deviations are dependent on the longitudinal location as well as the interlayer positions of the defects.
All coefficients are standardized, meaning that for continuous regressors the coefficients measure how many standard deviations the dependent variable changes when the regressor changes one standard deviation and for dichotomous variables when the variables turn from zero to one.
We report means and standard deviations for dependent variables at baseline, the 3 and 9-month follow-ups, and standard mean differences [SMD] between baseline and each follow-up wave within both groups.
Meyer-Baron and Seeber (2000) performed a meta-analysis of 12 studies using selection criteria similar to Goodman et al. (2002) but also with the requirement for reporting means and standard deviations of dependent variables (Meyer-Baron and Seeber 2000).
