Sentence examples for model when data from inspiring English sources

Here we build on this tradition focusing on the issue of 2SLS estimation of a structural model when data on the endogenous covariate is missing for some observations.

Likert scale data can, in principle, be used as a basis for obtaining interval level estimates on a continuum by applying the polytomous Rasch model, when data can be obtained that fit this model.

Bias did not substantially increase for either model when data were generated from distributions that were both skewed and kurtotic.

Bayesian model evidence values clearly favour the true model when data is generated from the RC motif (second row in table 2).

Environmental factors also contribute to the risk of RA, therefore gender and smoking were also incorporated into the model when data were available.

The conditional logit model is an appropriate model when data includes both chosen alternatives and alternative-specific regressors [ 38], as is the case with DCE data.

To address this problem, goodness-of-fit tests for logistic regression models when data are collected using complex sampling designs are proposed.

Structural equation modelling (SEM) is a statistical method that enables researchers to measure interactions between unobservable variables (such as a market orientation or entrepreneurial orientation) in complex models when data sets are small.

We predicted RH and wind speed for hours with missing data using simple linear models when data were missing for < 3 hr.

The variable "habitat" (city vs. forest) was entered as a fixed factor into models when data from both the city and the forest were included in one analysis.

An advantage of GEE is that it is able to estimate models when data are incomplete, assuming the data are missing at random and the working covariance matrix is correctly specified [ 63].