News
Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...
Hosted on MSN1mon
Web VPython; Making Histograms and a Normal DistributionPhysics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...
To obtain optimal probability density functions (PDFs) or cumulative density functions (CDFs) of the event coordinates from the microseismic or acoustic emission sources, the normal information ...
Probability density function (PDF) curves are among the few charts on a Cartesian coordinate system that are commonly presented without y-axes. This design decision may be due to the lack of relevance ...
Divgi, D.R. (1979) Calculation of Univariate and Bivariate Normal Probability Functions. The Annals of Statistics, 7, 903-910.
About Probability Distribution Functions is a Python package to help plot, calculate distributions of data using different probability distribution types and formulas.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results