Examples of 'generalized linear' in a sentence
Meaning of "generalized linear"
generalized linear - In statistics, refers to a class of models that encompasses and generalizes various regression models
How to use "generalized linear" in a sentence
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generalized linear
Generalization to nonlinear or generalized linear models is indicated.
It is a generalized linear model used for binomial regression.
They belong to a family of generalized linear classifiers.
In generalized linear models each parameter corresponds to one covariate.
So this is an example of the generalized linear model.
I used a generalized linear model in my analysis.
Actuarial applications of generalized linear models.
Generalized linear model.
Support with generalized linear models.
There are different techniques to fit a hierarchical generalized linear model.
Estimation in generalized linear models with random effects.
On quantile quantile plots for generalized linear models.
The generalized linear regression approach is used for model development.
We will use a generalized linear model.
Statistical techniques sustain in binary regression analysis and generalized linear logistic.
See also
Data were analyzed using the generalized linear models for repeated measures.
It plays an important role in exponential dispersion models and generalized linear models.
It is a generalized linear model that uses the logit as its link function.
Exponential family of distributions and generalized linear models.
The outcome used for generalized linear modeling was the nuclear family structure.
The work was based on the theory of generalized linear models.
Generalized linear models were also used with a Poisson distribution.
The thesis focuses mostly on generalized linear models.
The Generalized Linear model expands the general linear model so that the dependent.
Multiple regression and the generalized linear model.
Of course, all generalized linear models are a special cases of VGLMs.
The effect of covering was tested with generalized linear modelling.
The models may be generalized linear models with selection of variables ;.
Data were analyzed with the linear model or generalized linear model.
The SM can be adjusted using generalized linear models that have estimated restriction matrixes.
Logistic regression is the most common form of generalized linear model.
GBS means were estimated using a generalized linear model with gamma distribution and log binding function.
Market research problems can also be analyzed by using hierarchical generalized linear models.
Statistical analysis utilized univarite generalized linear models with a probit link function.
Individual factors associated with sickness absence have previously been studied with generalized linear models.
They suggested modifying the generalized linear model above for.
A generalized linear mixed-model was employed to analyze all clinical parameters.
The analysis was based on the generalized linear model approach.
To this, the generalized linear models methodology for data in proportion form was used.
Univariate and multivariate analyses were conducted by generalized linear models for discrete variables.
Hierarchical generalized linear model have been used to solve different real-life problems.
Interpret and report the results of a data analysis using generalized linear models.
The class of overdispersed generalized linear models ( oglms ) developed by dey et al.
In the deicing capacity modeling a gamma regression model of the generalized linear models is used.
Generalized linear models ( GLMs ) are a framework for modeling response variables that are bounded or discrete.
Means were estimated with the use of generalized linear models for continuous measures.
This therefore configured a factorial experiment, with analysis using generalized linear model.
To meet this objective, generalized linear models are used.
The influence of fixed effects and covariate were tested with a generalized linear model.
For the inferential analysis, generalized linear models were adjusted.
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