Übersetzung für "Latent variable" in Deutsch

You can also impute missing values or latent variable scores.

This variable linearly depends on formula_2 via a parameter (vector) formula_5 which determines the relationship between the independent variable (or vector) formula_2 and the latent variable formula_3 (just as in a linear model).

In this way, for each influencing variable a (new) latent variable is extracted which represents its unique core content.

Latent variable models are used in many scientific disciplines (e.g., psychology, sociology, and biology) and there are certain discipline-specific methodological paradigms and trends.

Using their single-cell latent variable model (scLVM), the team around Florian BÃ1?4ttner and Fabian Theis from Helmholtz Zentrum MÃ1?4nchen as well as John Marioni and Oliver Stegle from the European Bioinformatics Institute (EMBL-EBI, Cambridge, UK) have succeeded in detecting and characterizing the maturation stages T cells undergo in their development to become T helper cells.

The course provides a solid review of the statistical theory and the assumptions underlying the latent variable model.

Using multilevel logistic regression, latent variable and propensity score analysis, three target variables were studied: participation in the initial recruitment interview, the readiness to join the access panel as declared at the end of the recruitment interview and effective panel participation afterwards, this last step analyzed combined as well as specifically for the two contact/survey modes telephone and Online.

Customer and employee loyalty are complex latent variables, which can be quantified with the aid of various indicators.

There are three common ways of modeling data using the latent variables approach:

Selected latent variables are then used to fit the dependent variables by multiple linear regression .

Explore the complex relationships that may occur between latent variables such as intelligence, wellbeing and academic performance via structural equation modeling using partial least squares.

Principal component regression (PCR) which generates the latent variables from the independent variables X .

In the past few decades, in the area of large-scale assessment studies, the plausible values technique has been established as a procedure for correcting relationships between latent variables and covariates.

Despite these efforts, the latently rising variable costs could not be offset by implemented price increases, partly due to the company's lower-than-expected revenues in September and October 2018.

An expectation-maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables.

These parameters are then used to determine the distribution of the latent variables in the next E step.

In her thesis, she investigated complex statistical models with latent variables, making new discoveries about the convergence of the Expectation Maximisation algorithm.