Distributed manufacturing - Wikipedia
Distributed manufacturing, also known as distributed production, cloud producing, distributed digital manufacturing, and local manufacturing, is a form
Pion Distribution Amplitude and Quasi-Distributions
We extend our analysis of quasi-distributions onto the pion distribution amplitude. Using the formalism of parton virtuality distribution amplitudes (VDAs), we establish a connection between the pion transverse momentum dependent distribution amplitu...
Matrix normal distribution and elliptic distribution
In this paper, we introduce the matrix normal distribution according to the tensor decomposition of its covariance. Based on the canonical diagonal form, the moment generating function of sample covariance matrix and the distribution of latent roots...
Distribution-Free Distribution Regression
`Distribution regression' refers to the situation where a response Y depends on a covariate P where P is a probability distribution. The model is Y=f(P) + mu where f is an unknown regression function and mu is a random error. Typically, we do not obs...
Multimodal distribution - Wikipedia
exponential distribution. Alpha-skew-normal distribution. Bimodal skew-symmetric normal distribution. A mixture of Conway-Maxwell-Poisson distributions has been
Half-normal distribution - Wikipedia
the half-normal distribution is a special case of the folded normal distribution. Let X {\displaystyle X} follow an ordinary normal distribution, N ( 0
Skew normal distribution - Wikipedia
and statistics, the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness
Determining When to Use a z-Distribution or a t-Distribution
Learn how to determine when to use a z-Distribution or a t-Distribution, and see examples that walk through sample problems step-by-step for you to improve your statistics knowledge and skills.
Student t-Distribution | Definition, Properties & Examples
Understand what the t-distribution is and when to use the Student t-distribution. Learn the t-distribution formula and how degrees of freedom effects the t-curve.
Asymptotic distribution - Wikipedia
In mathematics and statistics, an asymptotic distribution is a probability distribution that is in a sense the limiting distribution of a sequence of distributions
The McDonald Normal Distribution
A five-parameter distribution called the McDonald normal distribution is defined and studied. The new distribution contains, as special cases, several important distributions discussed in the literature, such as the normal, skew-normal, exponentiated...
The McDonald Modified Weibull Distribution: Properties and Applications
A six parameter distribution so-called the McDonald modified Weibull distribution is defined and studied. The new distribution contains, as special submodels, several important distributions discussed in the literature, such as the beta modified Weib...
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distr…
Robust training with noisy labels is a critical challenge in image classification, offering the potential to reduce reliance on costly clean-label datasets. Real-world datasets often contain a mix of in-distribution (ID) and out-of-distribution (OOD)...
Out-of-Distribution Generalization in Text Classification: Past, Present, and Fu…
Machine learning (ML) systems in natural language processing (NLP) face significant challenges in generalizing to out-of-distribution (OOD) data, where the test distribution differs from the training data distribution. This poses important questions...
Confidence Distributions and Related Themes
This is the guest editors' general introduction to a Special Issue of the Journal of Statistical Planning and Inference, dedicated to confidence distributions and related themes. Confidence distributions (CDs) are distributions for parameters of inte...
Distributed Banach-Picard Iteration: Application to Distributed EM and Distribut…
In recent work, we proposed a distributed Banach-Picard iteration (DBPI) that allows a set of agents, linked by a communication network, to find a fixed point of a locally contractive (LC) map that is the average of individual maps held by said agent...
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross…
Identifying future congestion points in electricity distribution networks is an important challenge distribution system operators face. A proven approach for addressing this challenge is to assess distribution grid adequacy using probabilistic models...
A new asymmetric generalisation of the t-distribution
A 6-parameter fat-tailed distribution is proposed that generalises the t-distribution and allows asymmetry of scale and also of tail power, whilst avoiding the discontinuity of the second derivative of the split-t (AST) distribution. With the sixth p...
Boltzmann distribution - Wikipedia
mechanics and mathematics, a Boltzmann distribution (also called Gibbs distribution) is a probability distribution or probability measure that gives the
From Gumbel to Tracy-Widom
The Tracy-Widom distribution that has been much studied in recent years can be thought of as an extreme value distribution. We discuss interpolation between the classical extreme value distribution $\exp(-\exp(-x))$, the Gumbel distribution and the...