Sentence examples for expected biased from inspiring English sources

If θ ^ Λ * is the maximum-likelihood estimator of a demographic model, where Λ denotes the truncation parameter of the numerical approximation, the bias is defined as β = E − E. Here, E is the expected biased estimator and E is the expected unbiased estimator.

The expected biases and variability in the regression analysis are discussed.

Only 41 hauls from the 2003 2005 data were conducted when wave heights exceeded five feet (1.52 m), however their exclusion reduces the maximum expected bias in any single tow due to wave height by ∼31%.

As expected, bias was observed for both BV and SO.

As expected, bias (in magnitude), variance and RMS all decrease as sample size increases.

With an imperfect PLE (δ γ ≠0), we can also compute the (approximate) expected bias and RMSE via the Monte Carlo approach in Section 4.2, using a population N=6,000 samples.

Expected biases associated with OLS and the relatively poor performance and shortcomings of the FE estimator in the context of firm-level productivity regressions are reviewed in Van Beveren (2012).

With an imperfect PLE (γ≠γ0), we can approximate the expected bias and RMSE via the Monte Carlo approach in Section 4.2, using N=6,000 samples of the random error ε ̄ TE ( τ 0, γ ) in Equation (55).

While vertical ensemble framework building classifiers using different learning algorithms on the same data-chunk, in this way it can decrease the expected bias error compared to any single classifiers.

A number of recent studies have shown that mating with multiple males results in offspring with higher performance but without the expected biases towards better or more compatible males [11], [12], [13], [14].

Any publication supported directly by the tobacco industry was excluded due to expected bias.