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multivariate sample

См. также в других словарях:

  • Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …   Wikipedia

  • Multivariate analysis of variance — (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent …   Wikipedia

  • Multivariate 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… …   Wikipedia

  • Multivariate Student distribution — Multivariate Student parameters: location (real vector) Σ scale matrix (positive definite real matrix) n is the degree of freedom support …   Wikipedia

  • Multivariate optical computing — is an approach to the development of spectroscopic instruments, particularly for industrial applications such as process analytical support. Conventional spectroscopic methods often employ multivariate methods to extract the concentration (or… …   Wikipedia

  • Multivariate landing page optimization — (MVLPO) is a specific form of landing page optimization where multiple variations of visual elements (e.g., graphics, text) on a webpage are evaluated. For example, a given page may have k choices for the title, m choices for the featured image… …   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 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 testing — Software Testing portal In statistics, multivariate testing or multi variable testing is a technique for testing hypotheses on complex multi variable systems, especially used in testing market perceptions.[1] …   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 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

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