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observable variables

См. также в других словарях:

  • Observable variable — In statistics, observable variables or manifest variables, as opposed to latent variables, are those variables that can be observed and directly measured.[1] See also Observables in physics Observability in control theory Latent variable model… …   Wikipedia

  • Observable — Dans le formalisme de la mécanique quantique, une opération de mesure (c est à dire obtenir la valeur ou un intervalle de valeurs d un paramètre physique, ou plus généralement une information sur un système physique) est représentée par ce qu il… …   Wikipédia en Français

  • Observable — This article is about observables in physics. For the use of the term observable in control theory, see Observability. In physics, particularly in quantum physics, a system observable is a property of the system state that can be determined by… …   Wikipedia

  • Observable — En física cuántica, un observable es toda propiedad del estado de un sistema que puede ser determinada ( observada ) por alguna secuencia de operaciones físicas. Estas operaciones pueden incluir, por ejemplo, el someter al sistema a diversos… …   Wikipedia Español

  • Variables cachées — Variable cachée Cet article fait partie de la série Mécanique quantique Postulats de la mécanique quantique Histoire de la m …   Wikipédia en Français

  • 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

  • Latent variable — In statistics, latent variables (as opposed to observable variables), are variables that are not directly observed but are rather inferred (through a mathematical model) from other variables that are observed and directly measured. They are also… …   Wikipedia

  • Expectation-maximization algorithm — An expectation maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. EM alternates between performing an… …   Wikipedia

  • High-dimensional statistics — High Dimensional StatisticsHigh dimensional statistics is the branch of mathematical and applied multivariate statistics aimed at treatment of statisical data whose dimension is so large that it is comparable in magnitude to sample size and may… …   Wikipedia

  • Identifiability — In statistics, identifiability is a property which a model must satisfy in order for inference to be possible. We say that the model is identifiable if it is theoretically possible to learn the true value of this model’s underlying parameter… …   Wikipedia

  • Gain scheduling — In control theory, gain scheduling is an approach to control of non linear systems that uses a family of linear controllers, each of which provides satisfactory control for a different operating point of the system. One or more observable… …   Wikipedia

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