In mathematics, a contraharmonic mean (or antiharmonic mean) is a function complementary to the harmonic mean. The contraharmonic mean is a special case...

Arithmetic-geometric mean Arithmetic-harmonic mean Cesàro mean Chisini mean Contraharmonic mean Elementary symmetric mean Geometric-harmonic mean Grand mean Heinz mean Heronian...

and Woods call this a "contraharmonic mean filter" described for varying values of p (however, as above, the contraharmonic mean can refer to the specific...

harmonic mean is widely used. Mathematics portal Rate (mathematics) Contraharmonic mean Generalized mean Weighted mean Weighted geometric mean HM-GM-AM-QM...

numbers is the arithmetic mean – the sum of the numbers divided by how many numbers are in the list. For example, the mean or average of the numbers 2...

Melbourne chm, ISO 639 code for Mari language CHM, abbreviation for contraharmonic mean Ch.M., postnominal for Magistral Chaplain, used by the Sovereign...

In statistics, regression toward the mean (also called regression to the mean, reversion to the mean, and reversion to mediocrity) is the phenomenon where...

mathematics and statistics, the arithmetic mean ( /ˌærɪθˈmɛtɪk/ arr-ith-MET-ik), arithmetic average, or just the mean or average is the sum of a collection...

For reducing either salt noise or pepper noise, but not both, a contraharmonic mean filter can be effective. Linear filters are generally ineffective...

In mathematics, the geometric mean (also known as the mean proportional) is a mean or average which indicates a central tendency of a finite collection...

their respective means. The above equations are efficient to use if the mean of the x and y variables ( x ¯  and  y ¯ {\displaystyle {\bar {x}}{\text{...

In mathematics, the arithmetic–geometric mean (AGM or agM) of two positive real numbers x and y is the mutual limit of a sequence of arithmetic means and...

of a statistic (usually an estimator of a parameter, like the average or mean) is the standard deviation of its sampling distribution or an estimate of...

probability distribution has a defined mean (see the Cauchy distribution for an example). Moreover, the mean can be infinite for some distributions....

correlation between two variables, the regression coefficient in a regression, the mean difference, or the risk of a particular event (such as a heart attack) happening...

The cubic mean (written as x ¯ c u b i c {\displaystyle {\bar {x}}_{\mathrm {cubic} }} ) is a specific instance of the generalized mean with p = 3 {\displaystyle...

Jiang & Feng Qi. Sharp bounds for the Neuman-Sándor mean in terms of the power and contraharmonic means. January 9, 2015. https://www.cogentoa.com/article/10...

dispersion or variability. In the general form, the central point can be a mean, median, mode, or the result of any other measure of central tendency or...

In mathematics, the Heronian mean H of two non-negative real numbers A and B is given by the formula H = 1 3 ( A + A B + B ) . {\displaystyle H={\frac...

In mathematics, the Heinz mean (named after E. Heinz) of two non-negative real numbers A and B, was defined by Bhatia as: H x ⁡ ( A , B ) = A x B 1 − x...

Mean-field particle methods are a broad class of interacting type Monte Carlo algorithms for simulating from a sequence of probability distributions satisfying...

population mean). The residual is the difference between the observed value and the estimated value of the quantity of interest (for example, a sample mean). The...

values of a variable about its mean. A low standard deviation indicates that the values tend to be close to the mean (also called the expected value)...

statistics, the coefficient of variation (CV), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and relative standard deviation (RSD)...

used to estimate an unknown statistical parameter, such as a population mean. Rather than reporting a single point estimate (e.g. "the average screen...

a moving average (rolling average or running average or moving mean or rolling mean) is a calculation to analyze data points by creating a series of...

appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution. This holds even if the original...

dispersion index, coefficient of dispersion, relative variance, or variance-to-mean ratio (VMR), like the coefficient of variation, is a normalized measure of...

the sample or population mean, while Standard error refers to an estimate of difference between sample mean and population mean. A statistical error is...

random variable can be approximated by taking the empirical mean (a.k.a. the 'sample mean') of independent samples of the variable. When the probability...