multivariate problem
1Multivariate statistics — is a form of statistics encompassing the simultaneous observation and analysis of more than one statistical variable. The application of multivariate statistics is multivariate analysis. Methods of bivariate statistics, for example simple linear… …
2Multivariate analysis — (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time. In design and analysis, the technique is used to perform trade studies across… …
3Multivariate cryptography — is the generic term for asymmetric cryptographic primitives based on multivariate polynomials over finite fields. In certain cases those polynomials could be defined over both a ground and an extension field. If the polynomials have the degree… …
4Multivariate Cryptography — is the generic term for asymmetric cryptographic primitives based on multivariate polynomials over finite fields. In certain cases those polynomials could be defined over both a ground and an extension field. If the polynomials have the degree… …
5Multivariate adaptive regression splines — (MARS) is a form of regression analysis introduced by Jerome Friedman in 1991.[1] It is a non parametric regression technique and can be seen as an extension of linear models that automatically models non linearities and interactions. The term… …
6Multivariate optical element — A multivariate optical element (MOE), is the key part of a multivariate optical computer; an alternative to conventional spectrometry for the chemical analysis of materials. It is helpful to understand how light is processed in a multivariate… …
7Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …
8Multivariate Polya distribution — The multivariate Pólya distribution, also called the Dirichlet compound multinomial distribution, is a compound probability distribution, where a probability vector p is drawn from a Dirichlet distribution with parameter vector alpha, and a set… …
9Multivariate interpolation — In numerical analysis, multivariate interpolation or spatial interpolation is interpolation on functions of more than one variable. The function to be interpolated is known at given points and the interpolation problem consist of yielding values… …
10Multivariate division algorithm — In mathematics, polynomials in more than one variable do not form a Euclidean domain, so it is not possible to construct a true division algorithm; but an approximate multivariate division algorithm can be constructed. Given a polynomial g,… …
