- model estimation
- оценивание параметров модели (напр., регрессии)
Англо-русский словарь промышленной и научной лексики. 2014.
model estimation
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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
Estimation theory — is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data. The parameters describe an underlying physical setting in such a way that the value of the parameters affects… … Wikipedia
Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is … Wikipedia
Estimation of distribution algorithm — Estimation of Distribution Algorithms (EDA), sometimes called Probabilistic Model Building Genetic Algorithms (PMBGA), are an outgrowth of genetic algorithms. In a genetic algorithm, a population of candidate solutions to a problem is maintained… … Wikipedia
Estimation in software engineering — The ability to accurately estimate the time and/or cost taken for a project to come in to its successful conclusion is a serious problem for software engineers. The use of a repeatable, clearly defined and well understood software development… … Wikipedia
Model risk — In finance, model risk is the risk involved in using models to value financial securities.[1] Rebonato considers alternative definitions including: After observing a set of prices for the underlying and hedging instruments, different but… … Wikipedia
Estimation of covariance matrices — In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices then deals with the question of how to approximate the actual covariance matrix on the basis… … 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
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
Trend estimation — is a statistical technique to aid interpretation of data. When a series of measurements of a process are treated as a time series, trend estimation can be used to make and justify statements about tendencies in the data. By using trend estimation … Wikipedia
Statistical model validation — Model validation is possibly the most important step in the model building sequence. It is also one of the most overlooked. Often the validation of a model seems to consist of nothing more than quoting the R 2 statistic from the fit (which… … Wikipedia
