Sentence examples for two estimators namely from inspiring English sources

In order to solve these problems two estimators namely FMOLS and DOLS can be introduced.

Each of the methods provides three different estimators namely, pooled, pooled weighted and grouped mean.

A simulation study comparing six such estimators (namely LMS, LTS, LTD, MM-, τ-, and Lp-norm) together with the usual least squares estimator is presented.

We also consider two other consistent estimators, namely: the HC3 estimator, which is an approximation to the jackknife estimator, and the weighted bootstrap estimator.

In [26], the authors exploit pilot tone structures in OFDM/OQAM systems to derive two new CIR estimators, namely the linear minimum mean square error (LMMSE) and weighted least-square (WLS) estimators.

The remainder of this work is divided into four parts: First, we present the problem structure, signal model adopted for this study and briefly discuss two well-known channel estimators, namely, LS and MMSE linear estimators.

Friedlander's approach provides us with a characterization of the error between two estimators of the ToA, namely, the 'full' ML estimator obtained by maximizing the likelihood function −fML jointly over τ and γ, on one hand, and the conditional ML estimator obtained for a fixed (but imperfect or mismatched) value of the PLE γ, denoted by τ ̂ ML , on the other.

Since both DOA-BB-MUSIC and DOA-P-BB-MUSIC estimators are capable of decoupling the polarization estimation from the direction finding, their direction finding performances will be compared with two other polarization decoupled estimators, namely the DOA-LV-MUSIC and ESPRIT [23].

Based on simulation results for seasonally, monthly and daily building thermal loads, three widely used statistical estimators, namely, root mean square difference RMSD, total standard error SEE and chi square χ2 were calculated to assess the performance of each TMY.

To check for sensitivity of results to different estimators, the paper employs other treatment effects estimators namely regression adjustment, inverse probability weights (ipw) and inverse probability weights with regression adjustment (ipwra).3 These three estimators model for the non-random treatment assignment in different ways.

This section introduces two estimators for EI.