Examples of using Linear model in English and their translations into Russian
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Linear model of trade.
Internal Structure: Linear Model.
Linear models imply simplistic policy approaches.
The analysis could first be based on the following simple linear model.
One of the most prominent linear models is the logical framework approach.
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Thus I would lean towards ruling out running hedonic regressions based on the linear model(16) on a priori grounds.
In the linear model, the hedonic function f(z) is a simple linear function of the characteristics.
So far it has mostly been associated with the classical linear model- science, technologies, innovation.
Unfortunately the linear models considered are too simple to use the conclusions at practice.
Balance models: Model Leontief diversified economy; The linear model of trade; Manpower planning.
However, such linear models also have limitations, in particular when it comes to topics like violence against women.
Logical structure of a site can be represented by four main models: linear model,"grid","tree"(hierarchy) and"cobweb" models.
However, such linear models also have limitations, in particular when it comes to topics like violence against women.
Analysis of these linkages has been limited by the use of traditional static and linear models that are unable to take into account the dynamics of these factors.
Linear models imply that there is one way of causal relation from initial impulse to final outcome, which is innovation.
As was indicated in the previous section, the linear model(23) is unlikely to be consistent with microeconomic theory and so we cannot recommend its use.
For error distributions that belong to the exponential family,a link function may be used to transform the parameters under the Generalized linear model framework.
Multiple linear models confirmed that weather, insects and atmospheric deposition influence the condition of tree crowns in Europe.
With evidence accumulating from industry studies,the recognition grew that innovation was more complex than the linear model e.g. the chain link model of Kline and Rosenberg, 1986.
Once the NIS rather than the linear model is adopted as the framework of STI policy, policies need to consider a much broader set of issues.
However, it has become evident that building capacity to absorb,diffuse and maintain new technologies is far more complex and costly than this linear model suggests.
Any linear model can be turned into a non-linear model by applying the kernel trick to the model: replacing its features(predictors) by a kernel function.
He invented statistical parametric mapping: SPM is an international standard for analysing imaging data andrests on the general linear model and random field theory developed with Keith Worsley.
GLMs allow the linear model to be related to the response variable via a link function and allow the magnitude of the variance of each measurement to be a function of its predicted value.
The model evidence of the Bayesian linear regression model presented in this section can be used to compare competing linear models by Bayesian model comparison.
Generalized linear models(GLMs) provide a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
Although the final model estimated will be semi-log,the analysis that follows is based on the linear model, which has simpler arithmetic, since the parameter estimates can be interpreted as dollar values.
Most efforts in the past have focused on improving seeds and ensuring that farmers are provided with a set of inputsthat can increase yields, replicating the model of industrial processes in which external inputs serve to produce outputs in a linear model of production.
The exemplar of this approach is the LASSO method for constructing a linear model, which penalizes the regression coefficients with an L1 penalty, shrinking many of them to zero.
It is increasingly recognized that the linear model of innovation, which gave prominence to research and development(R&D) as the key phase in innovation(a"technology push" strategy) is failing the exigencies of technological learning.