Sentence examples for samples for finite from inspiring English sources

We evaluate the FIM in censored samples for finite sample sizes and determine its limiting form as the sample size increases.

The probability formula is developed using the assumption of a perfect test and hypergeometric sampling for finite small size populations.

Inadequate number of training samples for the finite number of training data leads to "curse of dimensionality" problem, which leads to degraded classification performance [43,44].

This result states that, as long as we encode a slightly higher number of samples per timeslot (which depends on parameter ) the probability that the increase in buffer occupancy exceeds samples (for a finite value of ) can be made arbitrary small for large.

The probability sample size for finite population was calculated by using confidence interval = 95%, absolute precision of estimate = 5% and prevalence rate of any one of the learning styles among the students = 50% (as previously no similar study was conducted in Malaysia).

Different intra-block (stratified) logistic analyses have been devised for similar survey designs for sampling from finite populations [ 32, 33].

A sample size calculation for finite populations determined a need for a random sample of 187 research subjects.

The sinc interpolation obtained in the Shannon-Nyquist sampling theory [20] for finite energy signals is fundamental in signal processing.

This is expected since the 3-nearest neighbor confidence depends on virtually infinite sample size while local minimax learning bounds are optimal for finite samples.

For example Beauchamp and Olson (1973) and Flewelling and Pienaar (1981) suggested that this correction factor was still biased because the sample variance is consistent but it is biased for finite sample sizes.

While an infinite sample size would still guarantee an efficient estimate, there are cases where a loss of efficiency is observed for finite samples.