enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

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

   A metric on a set X is a function (called the distance function or simply distance) d : X × X → R + (where R + is the set of non-negative real numbers). For all x, y, z in X, this function is required to satisfy the following conditions: d(x, y) ≥ 0 (non-negativity) d(x, y) = 0 if and only if x = y (identity of indiscernibles.

5. Estimating equations - Wikipedia

   en.wikipedia.org/wiki/Estimating_equations

   The basis of the method is to have, or to find, a set of simultaneous equations involving both the sample data and the unknown model parameters which are to be solved in order to define the estimates of the parameters. [1] Various components of the equations are defined in terms of the set of observed data on which the estimates are to be based.

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.