Sentence examples for some estimator from inspiring English sources

Matching estimators estimate the counterfactual using some estimator of the form E ^ Y 0 | P ^ X i = ∑ j = 1 J w P ^ X i, P ^ X j Y 0 j, (1).

Of course, the natural way to approximate Y t and Z t is to estimate first the unknown parameter 𝜗 with the help of some estimator (bar {vartheta }) and then to put, say, ({bar {Y}}_{t}=u(t,X_{t},{bar {vartheta }}) ).

Desired and factual inclusion probabilities do not agree exactly, which in turn leads to some estimator bias.

As we do not know the value 𝜗 we propose first to estimate it using some estimator-process 𝜗 ε,t⋆,0<t≤T and then to put Y_{t}^{star}=uleft(t,X_{t},vartheta_{varepsilon} ^{star} right),qquad Z_{t}^{star}=varepsilon sumlimits_{l=1}^{k} u'_{x_{l}} left(t,X_{t},vartheta_{varepsilon}^{star} right)sigma_{l} left(t,X_{t}right).

Some estimators may be used to implement the estimation algorithms.

In this section, we first review some estimators that can be used to obtain an estimate of the PSD of diffuse or reverberant sound and then derive a novel estimator that takes the presence of multiple plane waves as given by the signal model (1) into account.

Yao [4] proposed some estimators of the change point in a sequence of independent variables.

Moreover, some estimators do not yield the Hurst parameter but indexes related to H and ranging outside the unit interval.

In Section 2 some estimators of β, θ and σ 2 are given by the quasi-maximum likelihood method.

The indicators for trade openness, in their three variants, have a negative and statistically significant effect in all cases, except with the non-robust versions of some estimators.

Table 4 shows some estimators of the 3D BLC6 vector dispersion, calculated for three different sets, the 7300 vectors of 20 years, the 360 vectors of one year and, as a reference of completely dispersed set, a 7300 3D vector set of components +1, 0 or −1 generated at random.