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identifiable parameter

См. также в других словарях:

  • 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

  • Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …   Wikipedia

  • Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… …   Wikipedia

  • OMTROLL — OMTROLL[1] basically is an Object oriented modeling idea that has been formulated by combining the traditional Object Modelling Approaches(OMT) and the formal specifications of the TROLL language. OMTROLL was basically created so as to: exploit… …   Wikipedia

  • Network Abstraction Layer — The Network Abstraction Layer (NAL) is a part of the H.264/AVC Video Coding Standard. The main goal of the H.264/AVC NAL is the provision of a network friendly video representation addressing conversational (video telephony) and non… …   Wikipedia

  • Reactive attachment disorder — DiseaseDisorder infobox Name = Reactive attachment disorder |thumb|190px Caption = Children need sensitive and responsive caregivers to develop secure attachments. DiseasesDB = ICD10 = ICD10|F|94|1|f|90, ICD10|F|94|2|f|90 ICD9 = 313.89 ICDO =… …   Wikipedia

  • Technicolor (physics) — Beyond the Standard Model Standard Model …   Wikipedia

  • 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

  • Models of DNA evolution — A number of different Markov models of DNA sequence evolution have been proposed. These substitution models differ in terms of the parameters used to describe the rates at which one nucleotide replaces another during evolution. These models are… …   Wikipedia

  • Covariant transformation — See also Covariance and contravariance of vectors In physics, a covariant transformation is a rule (specified below), that describes how certain physical entities change under a change of coordinate system. In particular the term is used for… …   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

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