In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a "best guess" or "best estimate" of an unknown (fixed or random) population parameter.
More formally, it is the application of a point estimator to the data.
In general, point estimation should be contrasted with interval estimation: such interval estimates are typically either confidence intervals in the case of frequentist inference, or credible intervals in the case of Bayesian inference.
Read more about Point Estimation: Point Estimators, Bayesian Point-estimation, Properties of Point Estimates
Famous quotes containing the words point and/or estimation:
“The trouble with Reason is that it becomes meaningless at the exact point where it refuses to act.”
—Bernard Devoto (1897–1955)
“No man ever stood lower in my estimation for having a patch in his clothes; yet I am sure that there is greater anxiety, commonly, to have fashionable, or at least clean and unpatched clothes, than to have a sound conscience.”
—Henry David Thoreau (1817–1862)