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2. Sample size determination - Wikipedia

   en.wikipedia.org/wiki/Sample_size_determination

   The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

3. Distance sampling - Wikipedia

   en.wikipedia.org/wiki/Distance_sampling

   Distance sampling is a widely used group of closely related methods for estimating the density and/or abundance of populations. The main methods are based on line transects or point transects .

4. Statistical distance - Wikipedia

   en.wikipedia.org/wiki/Statistical_distance

   In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points. A distance between ...

5. EWMA chart - Wikipedia

   en.wikipedia.org/wiki/EWMA_chart

   EWMA weights samples in geometrically decreasing order so that the most recent samples are weighted most highly while the most distant samples contribute very little. [ 2 ] : 406 Although the normal distribution is the basis of the EWMA chart, the chart is also relatively robust in the face of non-normally distributed quality characteristics.

6. Bootstrapping (statistics) - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_(statistics)

   A way to improve on the Poisson bootstrap, termed "sequential bootstrap", is by taking the first samples so that the proportion of unique values is ≈0.632 of the original sample size n. This provides a distribution with main empirical characteristics being within a distance of (/). [36]

7. Earth mover's distance - Wikipedia

   en.wikipedia.org/wiki/Earth_mover's_distance

   In computer science, the earth mover's distance (EMD) [1] is a measure of dissimilarity between two frequency distributions, densities, or measures, over a metric space D.