The mean, minimum, maximum, standard deviation (Std Dev), variance (Var), skewness (Skew) and kurtosis can describe variability of the data.
We did not use the mean, minimum, maximum (voxel intensity) or Lipschitz (smoothly varying background subtraction) filters.
We then compared parameters (mean, minimum, maximum, standard deviation) characterizing the distributions of temperatures of individual frogs estimated from data collected using each of the three methods.
First-order metrics are typically histogram based and reduce the MTV to singular values describing the mean, minimum, maximum, median, and uniformity of the intensities within the MTV.
Moreover, statistics of slope angles of each mound (mean, minimum, maximum, standard deviation) were also examined using the slope maps (maximum gradient values per pixel scale, in degrees) directly converted from HiRISE-derived DEMs (Table 2).
We divided the year into four seasons based on the standards of the Chinese Meteorological Administration to calculate the seasonal mean, minimum, maximum, and standard deviation: spring (March May), summer (June August), autumn (September November), and winter (December February).
† Mean (minimum-maximum).
The features of the descriptive statistics obtained from the measurements are given as mean ± standard deviation or mean (minimum-maximum) and the categorical variables are shown as number of cases and percentages.
Demographic and clinical findings are presented as n with a percentage, with the exception of age which is expressed as the median (Q1-Q3) asd as the mean (minimum-maximum).
The quantitative variables were expressed as means (minimum-maximum) when appropriate.
The means, minima, maxima, standard errors and broad-sense heritabilities of traits in the parental lines and BC1 F1 or BC1 F1:2 populations were determined (Table 5).
