equal size samples

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• size — noun 1 how big or small sth is ADJECTIVE ▪ considerable, enormous, fair, good, great, impressive, large, massive, substantial, vast …   Collocations dictionary

• Sample size determination — is the act of choosing the number of observations to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample …   Wikipedia

• Group size measures — A group acts as a social environment of individuals: Great Woodswallows. Many animals, including humans, tend to live in groups, herds, flocks, bands, packs, shoals, or colonies (hereafter: groups) of conspecific individuals. The size of these… …   Wikipedia

• Effect size — In statistics, an effect size is a measure of the strength of the relationship between two variables in a statistical population, or a sample based estimate of that quantity. An effect size calculated from data is a descriptive statistic that… …   Wikipedia

• Sample size — The sample size of a statistical sample is the number of observations that constitute it. It is typically denoted n , a positive integer (natural number).Typically, all else being equal, a larger sample size leads to increased precision in… …   Wikipedia

• Motion compensation — is an algorithmic technique employed in the encoding of video data for video compression, for example in the generation of MPEG 2 files. Motion compensation describes a picture in terms of the transformation of a reference picture to the current… …   Wikipedia

• Balanced repeated replication — is a statistical technique for estimating the sampling variability of a statistic obtained by stratified sampling. Outline of the technique # Select balanced half samples from the full sample. # Calculate the statistic of interest for each half… …   Wikipedia

• Cross-validation (statistics) — Cross validation, sometimes called rotation estimation,[1][2][3] is a technique for assessing how the results of a statistical analysis will generalize to an independent data set. It is mainly used in settings where the goal is prediction, and… …   Wikipedia

• atom — /at euhm/, n. 1. Physics. a. the smallest component of an element having the chemical properties of the element, consisting of a nucleus containing combinations of neutrons and protons and one or more electrons bound to the nucleus by electrical… …   Universalium

• Bootstrapping (statistics) — In statistics, bootstrapping is a modern, computer intensive, general purpose approach to statistical inference, falling within a broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as… …   Wikipedia

• Bearing (mechanical) — A bearing is a device to allow constrained relative motion between two or more parts, typically rotation or linear movement. Bearings may be classified broadly according to the motions they allow and according to their principle of operation as… …   Wikipedia