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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. 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]

5. How to pay for moving expenses: 4 options to consider - AOL

   www.aol.com/finance/pay-moving-expenses-4...

   Type of mover. Average charge. Extra charges. Local/Intrastate. $50-$100 per hour. $25-$50 extra per additional mover. Interstate/Cross country. $2,600-$6,900 per load

6. 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.

7. Earth mover's distance - Wikipedia

   en.wikipedia.org/wiki/Earth_mover's_distance

   The use of the EMD as a distance measure for monochromatic images was described in 1989 by S. Peleg, M. Werman and H. Rom. [11] The name "earth mover's distance" was proposed by J. Stolfi in 1994, [14] and was used in print in 1998 by Y. Rubner, C. Tomasi and L. G. Guibas.