In probability theory and statistics, the coefficient of variation (CV), also known as normalized root-mean-square deviation (NRMSD), percent RMS, and...

of the measurements, the term coefficient of variation of the RMSD, CV(RMSD) may be used to avoid ambiguity. This is analogous to the coefficient of variation...

In statistics, McKay's approximation of the coefficient of variation is a statistic based on a sample from a normally distributed population. It was introduced...

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

increasing coefficient of variation, and its "critical" coefficient of variation of 0.213 corresponds to a ratio of (upper limit)/(lower limit) of 2.43, so...

coefficient (PCC) is a correlation coefficient that measures linear correlation between two sets of data. It is the ratio between the covariance of two...

These include: Coefficient of variation Quartile coefficient of dispersion Relative mean difference, equal to twice the Gini coefficient Entropy: While...

A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. The variables...

Spearman's rank correlation coefficient or Spearman's ρ is a number ranging from -1 to 1 that indicates how strongly two sets of ranks are correlated. It...

distribution as it has a coefficient of variation less than one, compared to the hyper-exponential distribution which has coefficient of variation greater than one...

rate is decreasing the coefficient of variation is ⩾ 1, and when the failure rate is increasing the coefficient of variation is ⩽ 1.[clarification needed]...

the Gini coefficient in practice, CV puts higher weight on the right tail of the scale, making it sensitive to the rich. Coefficient of variation may be...

make a prediction of the response. If the goal is to explain variation in the response variable that can be attributed to variation in the explanatory...

to outliers than measures such as the coefficient of variation. As such, it is one of several robust measures of scale. The statistic is easily computed...

In statistics, the phi coefficient, or mean square contingency coefficient, denoted by φ or rφ, is a measure of association for two binary variables. In...

index and Dice's coefficient. Other variations include the "similarity coefficient" or "index", such as Dice similarity coefficient (DSC). Common alternate...

they are the following: – β Coefficient of variation of VOC with respect to T, given by ∂VOC/∂T. – α Coefficient of variation of ISC with respect to T, given...

that of the exponential distribution, whose coefficient of variation is 1, and the hypoexponential distribution, which has a coefficient of variation smaller...

the coefficient of variation. More subtly, while one can define moments about the origin, only central moments are meaningful, since the choice of origin...

In statistics, the standard deviation is a measure of the amount of variation of the values of a variable about its mean. A low standard deviation indicates...

be analogous to the coefficient of variation, for describing multiplicative variation in log-normal data, but this definition of GCV has no theoretical...

In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's τ coefficient (after the Greek letter τ, tau), is a statistic...

to the population of healthy 30-year-old adults, and has the usual mean of 0 and standard deviation of 1. Coefficient of variation Error function Mahalanobis...

spread in comparison to the typical size of data values include the coefficient of variation. The Gini coefficient was originally developed to measure income...

invariant, dimensionless measure for characteristics of a distribution is the coefficient of variation, σ / μ {\displaystyle \sigma /\mu } . However, this...

Kish's definition of the design effect is closely tied to the coefficient of variation (Kish also calls it relvariance or relvar for short) of the weights (when...

and μ* are the coefficient of variation and the mean of the distribution respectively.. The geometric (G), arithmetic and harmonic means of the distribution...

was: how to characterize non-dogmatically the precision of an estimated regression coefficient? ... Pytkowski's monograph ... appeared in print in 1932...

R(t)=\exp(-\lambda t),} where λ {\textstyle \lambda } is the failure rate. Coefficient of variation Congeneric reliability Consistency (statistics) Homogeneity (statistics)...

known as a joyplot) is a series of line plots that are combined by vertical stacking to allow the easy visualization of changes through space or time....