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...
5 KB (786 words) - 09:31, 11 February 2024
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)...
14 KB (1,780 words) - 16:35, 20 September 2024
The Durbin–Wu–Hausman test (also called Hausman specification test) is a statistical hypothesis test in econometrics named after James Durbin, De-Min...
8 KB (992 words) - 11:12, 13 March 2024
Virginia, a town Durbin test, a nonparametric test for balanced incomplete designs Durbin–Watson statistic, a test statistic Durbin–Wu–Hausman test, a statistical...
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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...
10 KB (1,167 words) - 19:36, 1 August 2024
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...
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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...
121 KB (9,640 words) - 02:28, 19 October 2024
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...
7 KB (875 words) - 14:09, 4 May 2024
command, or under the "Test" → "Autocorrelation" menu entry in the GUI client. Breusch–Pagan test Durbin–Watson test Ljung–Box test Autoregressive-moving-average...
8 KB (1,089 words) - 07:42, 24 May 2024
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...
22 KB (2,399 words) - 13:31, 7 August 2024
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...
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variable (statistics) Duncan's new multiple range test Dunn index Dunnett's test Durbin test Durbin–Watson statistic Dutch book Dvoretzky–Kiefer–Wolfowitz...
87 KB (8,285 words) - 04:29, 7 October 2024
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...
29 KB (3,152 words) - 22:26, 4 October 2024
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...
50 KB (6,785 words) - 09:13, 2 October 2024
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...
32 KB (4,105 words) - 19:57, 11 September 2024
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...
81 KB (10,172 words) - 01:36, 21 September 2024
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...
39 KB (6,469 words) - 17:31, 18 September 2024
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...
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In statistics, the likelihood-ratio test is a hypothesis test that involves comparing the goodness of fit of two competing statistical models, typically...
17 KB (2,098 words) - 09:11, 20 July 2024
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...
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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...
17 KB (2,324 words) - 11:16, 28 September 2024
and k {\displaystyle k} is the number of endogenous variables). Durbin–Wu–Hausman test Sargan, J. D. (1958). "The Estimation of Economic Relationships...
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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...
12 KB (1,624 words) - 06:30, 27 August 2024
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...
17 KB (2,232 words) - 23:13, 22 March 2024
In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter...
12 KB (1,759 words) - 11:25, 12 February 2024
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...
44 KB (5,795 words) - 07:12, 1 October 2024
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,...
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a unit root. Popular serial correlation tests include: Breusch–Godfrey test Ljung–Box test Durbin–Watson test Kočenda, Evžen; Alexandr, Černý (2014),...
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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...
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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...
18 KB (2,348 words) - 09:58, 5 July 2024