Sentence examples for a finite sample size from inspiring English sources

This specification does not allow any changes in the slopes of age profiles across cohorts, because it is practically difficult to allow all coefficients to change in a cohort with a finite sample size.

AICc is based on Akaike Information Criterion (AIC) (Akaike 1973, 1974 20100) and corrects for a finite sample size: AICc= AIC+frac{2k left(k+1right)}{n-k-1} (5)with k denoting the number of parameters and n, the sample size (e.g. Burnham and Anderson 2002; Konishi and Kitagawa 2008).

However, any practical data has a finite sample size.

For any given trial, which has a finite sample size, however, there may be an imbalance between treatment arms in one, or more, known or unknown prognostic factors.

Owing to sampling variation in a finite sample size, even if the two treatments are equally effective (i.e., the null hypothesis is true), one sample mean will nearly always be greater than the other.

For a finite sample size, the simulations show that, whatever the approach, naive or truncation-based, the parametric maximum likelihood estimator may be positively biased and that this bias and the corresponding mean squared error increase when the theoretical probability p for the time-to-onset to fall within the observable values interval decreases.

Model probabilities are calculated using the fraction of members that predict the event, with a correction for finite sample size [ Wilks, 2006].

Acceptance or rejection of the alternative model is tested using a likelihood-ratio test, but we also include values of the Akaike Information Criterion with a correction for finite sample size (AICc) as measures of fit of the null model and the alternative model, respectively.

These refer, respectively, to false positive and false negative rates due to chance as a result of the finite sample size in a PoC trial.

In contrast to the realizable case, success should be seen as a relative quantity, as the finite sample size induces an unknown scaling for the maximal rate of practical success.

Because the available samples with ground truth are often limited in medical imaging research, the finite sample size is a limiting factor in the development of CAD systems.