Search results
Results from the WOW.Com Content Network
Matplotlib-animation [11] capabilities are intended for visualizing how certain data changes. However, one can use the functionality in any way required. These animations are defined as a function of frame number (or time). In other words, one defines a function that takes a frame number as input and defines/updates the matplotlib-figure based ...
Full width at half maximum. In a distribution, full width at half maximum (FWHM) is the difference between the two values of the independent variable at which the dependent variable is equal to half of its maximum value. In other words, it is the width of a spectrum curve measured between those points on the y-axis which are half the maximum ...
The half-normal distribution is a special case of the generalized gamma distribution with d = 1, p = 2, a = . If Y has a half-normal distribution, Y-2 has a Lévy distribution; The Rayleigh distribution is a moment-tilted and scaled generalization of the half-normal distribution.
In statistics, specifically the analysis of data in the design of experiments, a DOE mean plot is a graphical tool used to analyze data from an experiment. In it, it demonstrates the relative importance of all the factors in an experiment with respect to a chosen location statistic, in this case the mean. Each factor is plotted and all mean ...
In statistics, an empirical distribution function (commonly also called an empirical cumulative distribution function, eCDF) is the distribution function associated with the empirical measure of a sample. [1] This cumulative distribution function is a step function that jumps up by 1/n at each of the n data points. Its value at any specified ...
A scattor plot of years in the major league against salary (x$1000). The line is the trend in the mean. The plot demonstrates that the variance is not constant. The smoothed conditional variance against the smoothed conditional mean. The quadratic shape is indicative of the Gamma Distribution.
The first scatter plot (top left) appears to be a simple linear relationship, corresponding to two correlated variables, where y could be modelled as gaussian with mean linearly dependent on x. For the second graph (top right), while a relationship between the two variables is obvious, it is not linear, and the Pearson correlation coefficient ...
The normal probability plot is formed by plotting the sorted data vs. an approximation to the means or medians of the corresponding order statistics; see rankit. Some plot the data on the vertical axis; [1] others plot the data on the horizontal axis. [2] [3] Different sources use slightly different approximations for rankits.