Sentence examples for more appropriate estimator from inspiring English sources

However, as the error terms of the two models are likely to be correlated, an extension of the probit model known as bivariate probit [61] is usually a more appropriate estimator.

Taking into account the number of categories and the semi-quantitative nature of the Boyd scale, weighted kappa is a more appropriate estimator of concordance.

In addition, we demonstrate that the MML estimators are more appropriate to estimate the parameters of Richter's magnitude frequency relationship based on the comparison of their performance with those of the least squares estimators by using the seismic database on earthquakes recorded in Turkey.

A comparative study of several different error estimation techniques on microarray classification shows that 0.632 + bootstrap can be more appropriate than other estimators including resubstitution estimator, cross-validation, and leave-one-out estimation [ 39].

However, in some circumstances one may feel it more appropriate to develop estimators that are UMVUE conditional on the occurrence of a particular subset of trial realizations.

We describe both the Kaplan-Meier estimator and the competing risk model, and explain why the competing risk model is a more appropriate approach to estimate the probability of revision surgery when patients die in a hip revision surgery cohort.

Other alternatives such as the FMOLS estimator or the DOLS estimator can be more appropriate in co-integrated panel regressions.

Therefore, hierarchical models based on maximum likelihood estimators seem to be more appropriate for this design.

Asymptotic Distribution Free (ADF) or robust weighted least square estimator (WLSMW) might be a more appropriate choice.

As in Gugiu et al. [ 28], this study relied on non-standard, but theoretically more appropriate, methodological choices (i.e. Oblique rotation; WLS estimator; Parallel analysis; Exploratory/Confirmatory analysis) and raises doubt about the structure of the PACIC in 5 dimensions.

The issue we wanted to address was the extent to which the bias cannot be ignored and an alternative estimator such as Σ NP may be more appropriate.