Приклади вживання Linear model Англійська мовою та їх переклад на Українською
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Piecewise linear model.
The linear model of innovation.
Generalized linear model.
Linear Model of Communication.
Generalized continuous linear model of international trade(p. 315- 322).
Linear models and generalized linear models;
It is sometimesconvenient to expand the architecture to include local linear models.
A linear model is not possible.
The intermediate steps of this computation can be found in O'Hagan(1994)at the beginning of the chapter on Linear models.
A linear model of a plastic zone near a sharp tip notch under longitudinal shear.
The definition of linearity and nonlinearity is dependent on context, and linear models may have nonlinear expressions in them.
Classical linear model(LM1) which does not include declared income among its explanatory variables.
We consider the problems of operations research on graphs, linear models of operations research and problem gambling in operations research.
The general linear model is a generalization of multiple linear regression to the case of more than one dependent variable.
Analysis of variance Factorialexperiment Generalized randomized block design Linear model Main effect Interaction Tukey's test of additivity.
Departures from a linear model at low doses, however, could either increase or decrease the risk per unit dose.”.
If the errors do not follow a multivariate normal distribution, generalized linear models may be used to relax assumptions about Y and U.
In our‘throw away' society, the linear model of make, use and discard is depleting the resources of our planet- and our pockets.
This justifies the common use of this distribution tostand in for the effects of unobserved variables in models like the linear model.
Another advantage is that a linear model is easier to think about, and helps to organize thought.
Analysis of variance Factorialexperiment Generalized randomized block design Linear model Main effect Interaction Tukey's test of additivity Dodge, Y.(2003).
A comparative analysis of linear model selection criteria applied to the problem of assessing the radionuclide content in environmental objects is performed.
However, more importantly, empirical investigations can indicate the advantage ofusing predictions derived from non-linear models, over those from linear models, as for example in nonlinear autoregressive exogenous models. .
By simplification to a linear model, the whole apparatus for solving linear equations becomes available, for example, simultaneous equations, determinants, and matrix theory(often studied as part of linear algebra), especially Cramer's rule.
In particular, we want to abandon the linear model and embark on building processes in accordance with the principles of the circular economy.
Thus, the linear models represented by the tensors E and ε are almost always sufficient to describe the viscous stress and the strain rate around a point, for the purpose of modelling its dynamics. In particular, the local strain rate E(p, t) is the only property of the velocity flow that directly affects the viscous stress ε(p, t) at a given point.
The probability-based approach to the linear model of international trade based on the theory of Markov processes with continuous time is analysed.
Hypothesis tests with the general linear model can be made in two ways: multivariate or as several independent univariate tests.
If the errors do not follow a multivariate normal distribution, generalized linear models may beused to relax assumptions about Y and U. The general linear model incorporates a number of different statistical models: ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, t-test and F-test.