- log-likelihood ratio
- мат. логарифмическое отношение правдоподобия
Большой англо-русский и русско-английский словарь. 2001.
log-likelihood ratio
Смотреть что такое "log-likelihood ratio" в других словарях:
Likelihood-ratio test — The likelihood ratio, often denoted by Lambda (the capital Greek letter lambda), is the ratio of the maximum probability of a result under two different hypotheses. A likelihood ratio test is a statistical test for making a decision between two… … Wikipedia
Likelihood-Ratio-Test — Der Likelihood Quotienten Test oder Likelihood Ratio Test ist ein statistischer Test, der zu den typischen Hypothesentests in parametrischen Modellen gehört. Viele klassische Tests wie der F Test für den Varianzenquotienten oder der Zwei… … Deutsch Wikipedia
Likelihood ratio — Der Likelihood Quotienten Test oder Likelihood Ratio Test ist ein statistischer Test, der zu den typischen Hypothesentests in parametrischen Modellen gehört. Viele klassische Tests wie der F Test für den Varianzenquotienten oder der Zwei… … Deutsch Wikipedia
Likelihood function — In statistics, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, defined as follows: the likelihood of a set of parameter values given some observed outcomes is equal to the probability of … Wikipedia
Likelihood-Quotienten-Test — Der Likelihood Quotienten Test oder Likelihood Ratio Test ist ein statistischer Test, der zu den typischen Hypothesentests in parametrischen Modellen gehört. Viele klassische Tests wie der F Test für den Varianzenquotienten oder der Zwei… … Deutsch Wikipedia
Sequential probability ratio test — The sequential probability ratio test (SPRT) is a specific sequential hypothesis test, developed by Abraham Wald. [cite journal first=Abraham last=Wald title=Sequential Tests of Statistical Hypotheses journal=Annals of Mathematical Statistics… … Wikipedia
Odds ratio — The odds ratio [1][2][3] is a measure of effect size, describing the strength of association or non independence between two binary data values. It is used as a descriptive statistic, and plays an important role in logistic regression. Unlike… … Wikipedia
Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… … Wikipedia
Diagnostic odds ratio — log(Diagnostic Odds Ratio) for varying sensitivity and specificity The diagnostic odds ratio is a measure of the effectiveness of a diagnostic test.[1] It is defined as the ratio of the odds of the test being positive if the subject has a disease … Wikipedia
Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… … Wikipedia
G-test — In statistics, G tests are likelihood ratio or maximum likelihood statistical significance tests that are increasingly being used in situations where chi square tests were previously recommended.The commonly used chi squared tests for goodness of … Wikipedia
