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...

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...

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...

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...

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...

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...

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)...

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...

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

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 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...

= ∑ 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...

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...

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...

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...

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

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...

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...

A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information...

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...

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...

It is a chi-squared test: the test statistic is distributed nχ2 with k degrees of freedom. If the test statistic has a p-value below an appropriate threshold...

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

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...

not fully or completely define the statistic; for the strict definition, see the linked article for each statistic. 1B – Single: hits on which the batter...