When a dataset from a non-negative random variable contains zero or very small observations, the folded-normal distribution (FND) can be an appropriate model for fitting the data. Such data includes ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

Physics 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 ...

Purpose: We tried to establish the normal tissue complication probability (NTCP) model of temporal lobe injury of recurrent nasopharyngeal carcinoma (NPC) patients after two courses of intensity ...

Visualising Convergence: If we plot the PDFs of the averages for different sample sizes, we can see them getting closer to the shape of the normal distribution probability density function.

Spread the loveNormal distribution, also known as Gaussian distribution, is a fundamental concept in statistics that is used to describe the probability distribution of a continuous random variable.

Anaconda’s Python distribution is fully embedded and integrated into the Excel grid toolboxes for manipulating, analyzing, and visualizing data and for advanced machine learning and AI. Python in ...