mathematics, a contraharmonic mean is a function complementary to the harmonic mean. The contraharmonic mean is a special case of the Lehmer mean, L p {\displaystyle...

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

the harmonic mean is widely used. Mathematics portal Contraharmonic mean Generalized mean Harmonic number Rate (mathematics) Weighted mean Parallel summation...

For reducing either salt noise or pepper noise, but not both, a contraharmonic mean filter can be effective. Defective pixel Jayaraman; et al. (2009)...

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...

In mathematics, the geometric mean is a mean or average which indicates a central tendency of a finite collection of positive real numbers by using the...

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

numbers is the arithmetic mean – the sum of the numbers divided by how many numbers are in the list. For example, the mean average of the numbers 2, 3...

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...

mathematics and statistics, the arithmetic mean ( /ˌærɪθˈmɛtɪk/ arr-ith-MET-ik), arithmetic average, or just the mean or average (when the context is clear)...

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

standard deviation. If the statistic is the sample mean, it is called the standard error of the mean (SEM). The standard error is a key ingredient in producing...

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 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...

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...

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)...

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...

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...

population parameters using the appropriate sample statistics. The population mean, or population expected value, is a measure of the central tendency either...

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...

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...

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...

it is the value that is most likely to be sampled. Like the statistical mean and median, the mode is a way of expressing, in a (usually) single number...

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...

the probability distribution of a real-valued random variable about its mean. The skewness value can be positive, zero, negative, or undefined. For a...

value. The basic feature of the median in describing data compared to the mean (often simply described as the "average") is that it is not skewed by a small...

late 1920s. The most common measures of central tendency are the arithmetic mean, the median, and the mode. A middle tendency can be calculated for either...

estimator. The most common risk function used for Bayesian estimation is the mean square error (MSE), also called squared error risk. The MSE is defined by...

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

reducing sampling error. It can produce a weighted mean that has less variability than the arithmetic mean of a simple random sample of the population. In...