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ratio estimator

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ratio estimator [′rā·shō ‚es·tə‚mād·ər]
(statistics)
A ratio of two random variables that is used as an estimator.


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There is added coverage on regression, censored data applications, P-value adjustment, and ratio estimators.
The major difference between these two types of estimators is that the auxiliary variable in the mean-per-unit estimator is a substitute for the number of observations rather than a mean value with a variance, while the auxiliary variable in the ratio estimator is the mean value of a quantity that varies from sample to sample.
 
 
 
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