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sampling by variables

См. также в других словарях:

  • Sampling (statistics) — Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures… …   Wikipedia

  • Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… …   Wikipedia

  • Latin hypercube sampling — (LHS) is a statistical method for generating a distribution of plausible collections of parameter values from a multidimensional distribution. The sampling method is often applied in uncertainty analysis. The technique was first described by… …   Wikipedia

  • Importance sampling — In statistics, importance sampling is a general technique for estimating the properties of a particular distribution, while only having samples generated from a different distribution rather than the distribution of interest. Depending on the… …   Wikipedia

  • Nyquist–Shannon sampling theorem — Fig.1: Hypothetical spectrum of a bandlimited signal as a function of frequency The Nyquist–Shannon sampling theorem, after Harry Nyquist and Claude Shannon, is a fundamental result in the field of information theory, in particular… …   Wikipedia

  • Quota sampling — In quota sampling, the population is first segmented into mutually exclusive sub groups, just as in stratified sampling. Then judgment is used to select the subjects or units from each segment based on a specified proportion. For example, an… …   Wikipedia

  • Errors-in-variables models — In statistics and econometrics, errors in variables models or measurement errors models are regression models that account for measurement errors in the independent variables. In contrast, standard regression models assume that those regressors… …   Wikipedia

  • Stratified sampling — In statistics, stratified sampling is a method of sampling from a population.When sub populations vary considerably, it is advantageous to sample each subpopulation (stratum) independently. Stratification is the process of grouping members of the …   Wikipedia

  • Pseudo-random number sampling — or non uniform pseudo random variate generation is the numerical practice of generating pseudo random numbers that are distributed according to a given probability distribution. Methods of sampling a non uniform distribution are typically based… …   Wikipedia

  • Convolution sampling — In mathematics, convolution sampling is a technique used to generate observations from a distribution.A number of distributions can be expressed in terms of the (possibly weighted) sum of two or more random variables from other distributions (The …   Wikipedia

  • Attribute Sampling — A mathematical process used to analyze the characteristics of a given population of subjects. For example, a sampling of returns on an index or security can provide insight into how the subject performs under various market conditions. An… …   Investment dictionary

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