Durbin test is a non-parametric statistical test for balanced incomplete designs that reduces to the Friedman test in the case of a complete block design...

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)...

The Durbin–Wu–Hausman test (also called Hausman specification test) is a statistical hypothesis test in econometrics named after James Durbin, De-Min...

Virginia, a town Durbin test, a nonparametric test for balanced incomplete designs Durbin–Watson statistic, a test statistic Durbin–Wu–Hausman test, a statistical...

Applicable to complete block designs, it is thus a special case of the Durbin test. Classic examples of use are: n {\textstyle n} wine judges each rate...

test or Durbin test can be used when the response is not binary but ordinal or continuous. When there are exactly two treatments the Cochran Q test is...

Richard Joseph Durbin (born November 21, 1944) is an American lawyer and politician serving as the senior United States senator from Illinois, a seat he...

can be also carried out with the Breusch–Godfrey test and the Durbin–Watson test. The Ljung–Box test may be defined as: H 0 {\displaystyle H_{0}} : The...

command, or under the "Test" → "Autocorrelation" menu entry in the GUI client. Breusch–Pagan test Durbin–Watson test Ljung–Box test Autoregressive-moving-average...

James Durbin FBA (30 June 1923 – 23 June 2012) was a British statistician and econometrician, known particularly for his work on time series analysis and...

A chi-squared test (also chi-square or χ2 test) is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large...

A/B testing (also known as bucket testing, split-run testing, or split testing) is a user experience research method. A/B tests consist of a randomized...

Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section 2.2), one-dimensional...

Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It...

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

The Wilcoxon signed-rank test is a non-parametric rank test for statistical hypothesis testing used either to test the location of a population based...

The Kruskal–Wallis test by ranks, Kruskal–Wallis H {\displaystyle H} test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks...

a unit root. Popular serial correlation tests include: Breusch–Godfrey test Ljung–Box test Durbin–Watson test Kočenda, Evžen; Alexandr, Černý (2014),...

Shapiro–Wilk test is a test of normality. It was published in 1965 by Samuel Sanford Shapiro and Martin Wilk. The Shapiro–Wilk test tests the null hypothesis...

In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random...

In statistics, the likelihood-ratio test is a hypothesis test that involves comparing the goodness of fit of two competing statistical models, typically...

and k {\displaystyle k} is the number of endogenous variables). Durbin–Wu–Hausman test Sargan, J. D. (1958). "The Estimation of Economic Relationships...

variable (statistics) Duncan's new multiple range test Dunn index Dunnett's test Durbin test Durbin–Watson statistic Dutch book Dvoretzky–Kiefer–Wolfowitz...

A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution...

U} test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test of...

multiplier test and the likelihood-ratio test, the Wald test is one of three classical approaches to hypothesis testing. An advantage of the Wald test over...

In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter...

An F-test is any statistical test used to compare the variances of two samples or the ratio of variances between multiple samples. The test statistic,...

McNemar's test is a statistical test used on paired nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs...

The logrank test, or log-rank test, is a hypothesis test to compare the survival distributions of two samples. It is a nonparametric test and appropriate...