Sentence examples for model estimation using from inspiring English sources

A limitation of the sample size and missing values prevented model estimation using all variables simultaneously.

We performed model estimation using MODELGENERATOR and recorded the model selected by each of the available tests (AIC1, AIC2, BIC).

The predictions are more precise in the center of the circles than at their edges (Appendix 1). Figure 3 shows the ROC curves for validating the capacity of the final model for: a) model estimation using observed PD data (359 sites) from 2009 to 2010, b) model prediction using observed PD data of 2011 (438 sites).

Model estimation used the robust weighted least squares means and variance adjusted (WLSMV) estimator in MPlus, version 5.2 [ 19].

As missing data were rare (i.e., a maximum of 2 % per item) and completely at random, participants with missing data were included in the model estimations using full information maximum likelihood estimation [ 20].

This study examined the effects of outpatient reimbursement level on yearly total outpatient expenses and the ratio of using different types of healthcare institution by type 2 diabetic patients through DID model estimations, using two years of panel data.

The approach of this study is also relevant to vertebrate vision, where researchers typically model motion estimation using the motion energy model (Adelson and Bergen, 1985).

Thus, the single-parameter informed analysis method described in Section 2.2.1 is applied to sinusoidal model parameter estimation using the reassignment method.

Model-based estimation using the sample design we describe provides a transparent method for estimating biomass for particular spatial domains.

Global application of model-based estimation using GLAS, while demanding significant consolidation of training data, would improve inter-comparability of international biomass estimates by imposing consistent methods and a globally coherent sample frame.

We demonstrated model-based estimation using a sample of GLAS data in the US state of California, where our estimate of biomass (211 Mg/hectare) was within the 1.4% standard error of the design-based estimate supplied by the US NFI.