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
medicine, likelihood ratios are used for assessing the value of performing a diagnostic test. They use the sensitivity and specificity of the test to determine...
15 KB (2,216 words) - 17:15, 15 March 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
by the likelihood ratio. In frequentist inference, the likelihood ratio is the basis for a test statistic, the so-called likelihood-ratio test. By the...
64 KB (8,534 words) - 19:57, 20 July 2024
the likelihood-ratio test (LRT), which for these data give p ≈ 0.00064 {\displaystyle p\approx 0.00064} (see § Deviance and likelihood ratio tests below)...
127 KB (20,643 words) - 16:36, 18 September 2024
A monotonic likelihood ratio in distributions f ( x ) {\displaystyle \ f(x)\ } and g ( x ) {\displaystyle \ g(x)\ } The ratio of the density functions...
13 KB (1,820 words) - 08:36, 18 March 2024
In statistics, the score test assesses constraints on statistical parameters based on the gradient of the likelihood function—known as the score—evaluated...
11 KB (1,599 words) - 01:49, 12 April 2024
accurately by using a likelihood ratio for the test. Likelihood ratio is calculated from sensitivity and specificity of the test, and thereby it does not...
35 KB (4,429 words) - 22:01, 7 April 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,...
17 KB (2,176 words) - 10:59, 14 September 2024
In statistics, G-tests are likelihood-ratio or maximum likelihood statistical significance tests that are increasingly being used in situations where...
16 KB (2,505 words) - 14:34, 2 February 2024