multivariate estimate

См. также в других словарях:

• Multivariate 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… …   Wikipedia

• Multivariate 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… …   Wikipedia

• Multivariate normal distribution — MVN redirects here. For the airport with that IATA code, see Mount Vernon Airport. Probability density function Many samples from a multivariate (bivariate) Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the… …   Wikipedia

• Multivariate random variable — In mathematics, probability, and statistics, a multivariate random variable or random vector is a list of mathematical variables each of whose values is unknown, either because the value has not yet occurred or because there is imperfect… …   Wikipedia

• Multivariate 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… …   Wikipedia

• Multivariate Model — A popular statistical tool that uses multiple variables to forecast possible investment outcomes. Multivariate models predict outcomes of situations that are affected by more than one variable, and are widely used in the financial world. Analysts …   Investment dictionary

• Multivariate probit — In statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes jointly. For example, if it is believed that the decisions of sending at least one child to… …   Wikipedia

• Stein's unbiased risk estimate — In statistics, Stein s unbiased risk estimate (SURE) is an unbiased estimator of the mean squared error of a given estimator, in a deterministic estimation scenario. In other words, it provides an indication of the accuracy of a given estimator.… …   Wikipedia

• Bayesian multivariate linear regression — Consider a collection of m linear regression problems for n observations, related through a set of common predictor variables {x {c}}, and a jointly normal errors {epsilon {c}} ::y {1} = eta {1} x {1} + epsilon {1},,:y {c} = eta {c} x {c} +… …   Wikipedia

• statistics — /steuh tis tiks/, n. 1. (used with a sing. v.) the science that deals with the collection, classification, analysis, and interpretation of numerical facts or data, and that, by use of mathematical theories of probability, imposes order and… …   Universalium

• Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …   Wikipedia