estimators in English

noun
1
a rule, method, or criterion for arriving at an estimate of the value of a parameter.
As discussed above, they both have shortcoming as estimators of reliability.
2
a person who estimates the price, value, number, quantity, or extent of something.
How can its estimators obtain pricing for the many items they are going to need?

Use "estimators" in a sentence

Below are sample sentences containing the word "estimators" from the English Dictionary. We can refer to these sentence patterns for sentences in case of finding sample sentences with the word "estimators", or refer to the context using the word "estimators" in the English Dictionary.

1. The traditional variance estimators and two robust variance estimators proposed by Royall and Cumberland (R.

2. The existence of uniformly minimal variance estimators in the class of all linear unbiased estimators of the population total is discussed.

3. Soft Voting/Majority Rule Classifier for unfitted estimators

4. On second-order Admissibilities of the estimators of gamma shape vector

5. It is shown that the proposed mean imputation estimators are asymptoyically normal.

6. Basse, Art Owen and Mike Baiocchi - Combining observational and experimental datasets using shrinkage estimators (2020+) Guillaume W

7. In the US, according to the Bureau of Labor Statistics, there were 185,400 cost estimators in 2010.

8. Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings

9. Accuracy of the estimators was quantified using median bias and interquartile ranges of the stochastic growth rate estimates.

10. 8 These estimators include the signal subspace methods, ESPRIT and WSF. They possess good statistical performance.

11. For the one and two parameter exponential distribution minimum variance unbiased estimators and shortest confidence intervals are calculated.

12. In contrast to Akaike (1980) the initial values of the time series are considered as parameters for which unbiased estimators exist.

13. The well-known unbiased Grubbs’ estimators are not suitable for practical purpose because they can become negative.

14. For these variates the usual square error loss gives rise to a strange class of admissible estimators.

15. We consider the derivation of data-dependent simultaneous Bandwidths for double kernel heteroskedasticity and autocorrelation consistent (DK-HAC) estimators.

16. We derive efficient estimators of Q, the total fish quantity in an area sampled by acoustic survey, and the variance of Q. The estimators are valid when autocorrelation is insignificant, the nonzero samples have stationary statistics, and the distribution of the nonzero samples is normalised by a power transformation.

17. They also developed theoretical and numerical accurate acoustic wave propagation models putting in use parameter estimators, such as Maximum Likelihood Estimator.

18. This study aims to compare three estimators of standardized mean difference (SMD) for data obtained from pretest posttest cluster randomized control trials.

19. Invoking the fit method on the VotingClassifier will fit clones of those original estimators that will be stored in the class attribute self.estimators_.

20. MC Consultants’ staff of credentialed professionals includes architects, engineers, general contractors, construction managers, certified cost estimators, roofing, fenestration and water intrusion experts, industrial hygienists, traffic and roadway Consultants, and project managers.

21. Species-accumulation curves and species-richness estimators indicate that 75–100 bat species occur at Alter do Chão, suggesting that our inventory recorded approximately 67–89% of the bat fauna there.

22. Bivariate regression coefficient: Fortunately, both OLS estimators have this desired property Numerator is sum of product of deviations around means; when divided by N –1 it’s called the covariance of Y and X

23. This paper discusses Admissibilities of estimators in a class of linear models, which include the following common models: the univariate and multivariate linear models, the growth curve model, the extended growth curve model, the seemingly unrelated regression equations, the variance components model, and so on