likelihood ratio sentence in Hindi
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- There are analogous likelihood ratios for prediction values, but these are less commonly used, and not depicted above.
- The likelihood ratio is the ratio of the chances of observing B under the two hypotheses A and \ neg A.
- This results in the likelihood ratio chi-square statistic being equal to 0, which is the best model fit.
- The first description of the use of likelihood ratios for decision rules was made at a symposium on information theory in 1954.
- I am aware of the article Likelihood ratios in diagnostic testing, this question specifically concerns the use of Bayes'theorem.
- Otherwise, positive and negative likelihood ratios are more accurate than NPV and PPV, because likelihood ratios do not depend on prevalence.
- Otherwise, positive and negative likelihood ratios are more accurate than NPV and PPV, because likelihood ratios do not depend on prevalence.
- Further, it can be used in a hypothesis test for whether evolutionary rates are constant ( by using likelihood ratio tests ).
- Or in words : the posterior odds on A equals the prior odds on A times the likelihood ratio for A given information B.
- Maximizing information at the cutscore is more appropriate for the SPRT because it maximizes the difference in the probabilities used in the likelihood ratio.
- For instance, in frequentist statistics, likelihood ratios are computed against null models that may or may not be part of some hypothesis.
- From there, Rissanen shortens the maximum candidate through successive cutting the branches according to a sequence of tests based in statistical likelihood ratio.
- Low values of the likelihood ratio mean that the observed result was less likely to occur under the null hypothesis as compared to the alternative.
- In evidence-based medicine, "'likelihood ratios "'are used for assessing the value of performing a diagnostic test.
- Durbin's h-test ( see below ) or likelihood ratio tests, that are valid in large samples, should be used.
- As usual for monotonic relationships, the likelihood ratio's monotonicity comes in handy in statistics, particularly when using maximum-likelihood estimation.
- Another result, also called likelihood ratio tests, where Wilks showed the distribution of log likelihood ratios is asymptotically \ chi ^ 2.
- Another result, also called likelihood ratio tests, where Wilks showed the distribution of log likelihood ratios is asymptotically \ chi ^ 2.
- This training algorithm calculates the probability Pr ( Sense | Collocation ), and the decision list is ranked by the log-likelihood ratio:
- The PI is a likelihood ratio that is generated by comparing two probabilities where "'PI = X / Y " ':
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