a k-statistic is a minimum-variance unbiased estimator of a cumulant. McHugh, Mary L. (2012-10-15). "Interrater reliability: the kappa statistic". Biochemia...

In statistics, the t-statistic is the ratio of the difference in a number’s estimated value from its assumed value to its standard error. It is used in...

Anderson–Darling test statistic) to properly reject the null hypothesis. The Kolmogorov distribution is the distribution of the random variable K = sup t ∈ [ 0...

In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation at lag 1 in the residuals (prediction errors)...

statistic U ( k ) {\displaystyle U_{(k)}} is equal to f U ( k ) ( u ) = n ! ( k − 1 ) ! ( n − k ) ! u k − 1 ( 1 − u ) n − k {\displaystyle f_{U_{(k)}}(u)={n...

U-statistic, due to Hoeffding (1948), is defined as follows. Let K {\displaystyle K} be either the real or complex numbers, and let f : ( K d ) r → K {\displaystyle...

of freedom d 1 = K − 1 {\displaystyle d_{1}=K-1} and d 2 = N − K {\displaystyle d_{2}=N-K} under the null hypothesis. The statistic will be large if the...

clustering K-means++ K-medians clustering K-medoids K-statistic Kalman filter Kaplan–Meier estimator Kappa coefficient Kappa statistic Karhunen–Loève theorem...

independent in influencing the test statistic (values within the table). The test is valid when the test statistic is chi-squared distributed under the...

testing. A hypothesis test is typically specified in terms of a test statistic, considered as a numerical summary of a data-set that reduces the data...

improve a distinction between the test statistic and its distribution, names similar to Pearson χ-squared test or statistic are used. It is a p-value test. The...

is a property of a statistic computed on a sample dataset in relation to a parametric model of the dataset. A sufficient statistic contains all of the...

size, the NG50 statistic will not be more than the N50 statistic. The D50 statistic (also termed D50 test) is similar to the N50 statistic in definition...

Cohen's kappa coefficient (κ, lowercase Greek kappa) is a statistic that is used to measure inter-rater reliability (and also intra-rater reliability)...

set of data, it is one of the most powerful statistical tools for detecting most departures from normality. K-sample Anderson–Darling tests are available...

a statistic computed on a sample dataset in relation to a parametric model of the dataset. It is opposed to the concept of an ancillary statistic. While...

A statistical hypothesis test typically involves a calculation of a test statistic. Then a decision is made, either by comparing the test statistic to...

K. Bera. The test statistic is always nonnegative. If it is far from zero, it signals the data do not have a normal distribution. The test statistic JB...

counted statistically as a walk, and therefore not counted in the strikeout-to-walk ratio. The inverse of this calculation is the related statistic for hitters...

the score statistic is the same as the t statistic.[clarification needed] When the data consists of binary observations, the score statistic is the same...

= ∑ k ∑ l ∑ m C k k C l m − C k l C m k ∑ k ( ∑ l C k l ) ( ∑ k ′ | k ′ ≠ k ∑ l ′ C k ′ l ′ ) ∑ k ( ∑ l C l k ) ( ∑ k ′ | k ′ ≠ k ∑ l ′ C l ′ k ′ ) {\displaystyle...

associated statistical function is the sample k-th central moment, T n = m k = T ( F n ) = 1 n ∑ i = 1 n ( x i − x ¯ ) k . {\displaystyle T_{n}=m_{k}=T(F_{n})={\frac...

The test statistic is: Q = n ( n + 2 ) ∑ k = 1 h ρ ^ k 2 n − k {\displaystyle Q=n(n+2)\sum _{k=1}^{h}{\frac {{\hat {\rho }}_{k}^{2}}{n-k}}} where n...

form, the U statistic can be generalized to a measure of a classifier's separation power for more than two classes: M = 1 c ( c − 1 ) ∑ A U C k , ℓ {\displaystyle...

sampling distribution of the t statistic. Below the one-sample t statistic is discussed, for the corresponding two-sample t statistic see Student's t-test. Let...

In statistics, a polykay, or generalised k-statistic, (denoted k r , s {\displaystyle k_{r,s}} ) is a statistic defined as a linear combination of sample...

distribution is the probability distribution of a given random-sample-based statistic. If an arbitrarily large number of samples, each involving multiple observations...

of fit that is graphical, rather than reducing to a numerical summary statistic. Q–Q plots are also used to compare two theoretical distributions to each...

Student's t-distribution. The Hotelling's t-squared statistic (t2) is a generalization of Student's t-statistic that is used in multivariate hypothesis testing...

technique allows estimation of the sampling distribution of almost any statistic using random sampling methods. Bootstrapping estimates the properties...