As with all probability distributions, the Normal Distribution describes how the values of your data are distributed.

What exactly is an Anderson-Darling test? Testing for normality is often the first step in analyzing your data. Many ...

Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. However, for comprehensive ...

To accelerate offline learning and online inference procedures, this study originally derives an analytical Gaussian distribution to approximate the true posterior distribution of the LV, based on ...

You might have heard the term “splat” or “Gaussian splat” used recently in the XR space. Gaussian splatting is a rendering technique that has been around for a long time but has found a ...

Global biodiversity is declining at an unprecedented rate, with agriculture as a major driver. There is mounting evidence that intercropping can increase insect biodiversity while maintaining or ...

However, effectively handling non-Gaussian environments remains a crucial challenge for DKF. This paper proposes a solution by partitioning the noise distribution into multiple Gaussian components, ...

Allumin8 is developing surgical implants whose proprietary porous design allows surgeons to diagnose, treat and accelerate ...

A new computational method gleans more information than its predecessors from maps showing how galaxies are clustered and threaded throughout the universe.

The study applies a new boundary tracking method using Minimum Convolution of Gaussian Weight and Squared Differences (MCGWSD). The new method is fast and effective in a sense that it does not need ad ...