The normal distributions transform (NDT) is a point cloud registration algorithm introduced by Peter Biber and Wolfgang Straßer in 2003, while working...

asymptotically normal distributions. The central limit theorem also implies that certain distributions can be approximated by the normal distribution, for example:...

normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional (univariate) normal distribution...

and break. In atmospheric science, log-normal distributions (or distributions made by combining multiple log-normal functions) have been used to characterize...

for most distributions (including the normal distribution). As a result, this method may be computationally inefficient for many distributions and other...

skew normal distributions using the direct parameterization. The exponentially modified normal distribution is another 3-parameter distribution that is...

in the study of physical phenomena exhibiting normal distribution (e.g., diffusion). The Fourier transform of a Gaussian function is another Gaussian function...

between two truncated normal distributions with the support of the first distribution nested into the support of the second distribution. If the random variable...

matrix normal distribution or matrix Gaussian distribution is a probability distribution that is a generalization of the multivariate normal distribution to...

transformation technique used to stabilize variance, make the data more normal distribution-like, improve the validity of measures of association (such as the...

rather simple version of the ICP algorithm in various languages. Normal distributions transform Arun, Somani; Thomas S. Huang; Steven D. Blostein (1987). "Least-square...

The folded normal distribution is a probability distribution related to the normal distribution. Given a normally distributed random variable X with mean...

variables. This is not to be confused with the sum of normal distributions which forms a mixture distribution. Let X and Y be independent random variables that...

stable distribution that is not normal. Mandelbrot referred to such distributions as "stable Paretian distributions", after Vilfredo Pareto. In particular...

10^{-21}} . The standard Box–Muller transform generates values from the standard normal distribution (i.e. standard normal deviates) with mean 0 and standard...

use, and includes all distributions encompassed by the alternative definitions, as well as those distributions such as log-normal that possess all their...

and discrete data can all form multimodal distributions. Among univariate analyses, multimodal distributions are commonly bimodal.[citation needed] When...

underlying distribution is normal. Unlike more widely known distributions such as the normal distribution and the exponential distribution, the chi-squared...

integral transform to each of the components and then working with a joint distribution for which the marginal variables have uniform distributions. A third...

variables with zero mean. Two other distributions often used in test-statistics are also ratio distributions: the t-distribution arises from a Gaussian random...

In probability theory, the family of complex normal distributions, denoted C N {\displaystyle {\mathcal {CN}}} or N C {\displaystyle {\mathcal {N}}_{\mathcal...

the projected normal distribution (also known as offset normal distribution, angular normal distribution or angular Gaussian distribution) is a probability...

probability distributions, while negatively skewed distributions can be fitted to square normal and mirrored Gumbel distributions. Skewed distributions can be...

of freedom. Point feature matching Point-set triangulation Normal distributions transform Zhang, Ji; Singh, Sanjiv (May 2015). "Visual-lidar odometry...

generally tempered distributions on (0, ∞). The Laplace transform is also defined and injective for suitable spaces of tempered distributions. In these cases...

commonly, probability distributions are used to compare the relative occurrence of many different random values. Probability distributions can be defined in...

Distributions, also known as Schwartz distributions are a kind of generalized function in mathematical analysis. Distributions make it possible to differentiate...

the tail distribution function of the standard normal distribution. In other words, Q ( x ) {\displaystyle Q(x)} is the probability that a normal (Gaussian)...

distributions of the exponential of random variables distributed according to other common distributions, respectively the exponential distribution and...

normal distributions is a log normal so this distribution was not examined. Other distributions that have been examined include the Muth distribution...