The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...

ABSTRACT: This paper considers efficient set mathematics for the case where the covariance matrix of asset returns is assumed known but ex ante the vector of expected returns is replaced by an ...

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Abstract: Data-driven approaches have been widely used in the field of traction system and equipment fault diagnosis. However, limited training samples can cause data-driven models to face the dilemma ...

Normal 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. In simple terms, ...

The Francis era in Roman Catholicism is a good example of how the abnormal and even extraordinary can come to feel, with enough repetition, old hat and status quo. The wildness of the last decade is ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Current methods of characterizing plastic debris use arbitrary, predetermined ...

Provides multivariate normal distribution sampling and matrix inversion for Jetbrain's new NDArray library Multik, by bodging it with some classes (including tests) from Apache Commons Maths 3 & 4, ...