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conditional maximum likelihood

См. также в других словарях:

  • Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …   Wikipedia

  • Maximum likelihood sequence estimation — (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream. Contents 1 Theory 2 Background 3 References 4 Further reading …   Wikipedia

  • Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of …   Wikipedia

  • Conditional random field — A conditional random field (CRF) is a statistical modelling method often applied in pattern recognition. More specifically it is a type of discriminative undirected probabilistic graphical model. It is used to encode known relationships between… …   Wikipedia

  • Likelihood principle — In statistics,the likelihood principle is a controversial principle of statistical inference which asserts that all of the information in a sample is contained in the likelihood function.A likelihood function arises from a conditional probability …   Wikipedia

  • Monotone likelihood ratio — A monotonic likelihood ratio in distributions f(x) and g(x) The ratio of the density functions above is increasing in the parameter x, so f(x)/g(x) satisfies the monotone likelihood ratio property. In statistics, the monoto …   Wikipedia

  • Rasch model estimation — Various techniques are employed in order to estimate parameters of the Rasch model from matrices of response data. The most common approaches are methods of maximum likelihood estimation, such as joint and conditional maximum likelihood… …   Wikipedia

  • Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… …   Wikipedia

  • Rasch model — Rasch models are used for analysing data from assessments to measure things such as abilities, attitudes, and personality traits. For example, they may be used to estimate a student s reading ability from answers to questions on a reading… …   Wikipedia

  • Psychometric software — is software that is used for psychometric analysis of data from tests, questionnaires, or inventories reflecting latent psychoeducational variables. While some psychometric analyses can be performed with standard statistical software like SPSS,… …   Wikipedia

  • Rasch-Modell — Das Rasch Modell ist ein mathematisch psychologisches Modell der probabilistischen Testtheorie (oder Item Response Theorie), das vom dänischen Statistiker Georg Rasch entwickelt wurde. Inhaltsverzeichnis 1 Überblick 2 Wissenschaftlicher… …   Deutsch Wikipedia

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