finite population

The problem is as follows: There is a particular, finite population of people.

If the sampling fraction is less than 5%, then the finite population effect might be ignored.

"Studies in univariate and multivariate variance components analysis connected with sampling from a finite population".

Related to sampling schemes over a finite population:

In the theory of finite population sampling, a sampling design specifies for every possible sample its probability of being drawn.

In these circumstances we are usually investigating a finite population and therefore a sampling frame (i.e. a list of population members) may well exist.

A finite population of randomly reproducing organisms would experience changes from generation to generation in the frequencies of the different genotypes.

Jackson networks where a finite population of jobs travel around a closed network also have a product-form solution described by the Gordon-Newell theorem.

In many respects, the difficulties the department has encountered have been tied to larger social forces, including competition for a finite population of qualified black men from private business.

It deals with a finite population of S sources rather than the infinite population of sources that Erlang assumes.

Kempthorne's use of unit treatment additivity and randomization is similar to the design-based analysis of finite population survey sampling.

This algorithm can easily be adapted to compute the variance of a finite population: simply divide by N instead of n 1 on the last line.

In some instances the original model has been corrected to account for discrepancies, such as infinite vs. finite population sizes [ 7 9 16 ] .

A Moran process, named after Patrick Moran, is a stochastic process used in biology to describe finite populations.

When the sampling fraction is large (approximately at 5% or more), the estimate of the error must be corrected by multiplying by a "finite population correction"

In inferential statistics, the pseudomedian of a finite populations is the location parameter computed by the Hodges-Lehmann statistic.

In finite populations, any mutant could in principle invade, albeit at low probability, implying that no ESS can exist.

Tajima, F. (1983) Evolutionary Relationship of DNA Sequences in finite populations.

The process can describe the probabilistic dynamics in a finite population of constant size N in which two alleles A and B are competing for dominance.

He also showed that, unlike R. A. Fisher's argument, deleterious mutations can accumulate rather quickly on the Y chromosome or duplicate genes in finite populations.

For a finite population, the population mean of a property is equal to the arithmetic mean of the given property while considering every member of the population.

For a finite population of values indexed 1,..., from lowest to highest, the th -quantile of this population can be computed via the value of .

The hypergeometric distribution applies to sampling without replacement from a finite population whose elements can be classified into two mutually exclusive categories like Pass/Fail, Male/Female or Employed/Unemployed.

To signify the importance of this, imagine several different finite populations of the same species (for example: a grazing herbivore), isolated from each other by some physical characteristic of the environment (dense forest areas separating grazing lands).

In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the probability of successes in draws without replacement from a finite population of size containing a maximum of successes.