Interval estimation:
The purpose of gathering samples is to learn more about a population. We can compute this information from the sample data as either point estimates, An Interval estimate describes a range of values within which a population parameter is likely to lie.
Interval estimation:
In statistics, interval estimation is the use of sample data to calculate an interval of possible (or probable) values of an unknown population parameter. The most prevalent forms of interval estimation are confidence intervals (a frequentist method) and credible intervals (a Bayesian method).
* Behrens-Fisher problem
* fiducial inference
Other common interval estimation are
* Tolerance interval
* Prediction interval - used mainly in Regression Analysis.
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