Interval Estimation
120
浏览
0
关注

In statistics, interval estimation is the use of Sampling (statistics)|sample data to calculate an interval (mathematics)|interval of possible (or probable) values of an unknown population parameter, in contrast to point estimation, which is a single number. Neyman (1937) identified interval estimation (estimation by interval) as distinct from point estimation (estimation by unique estimate). In doing so, he recognised that then-recent work quoting results in the form of an estimator|estimate plus-or-minus a standard deviation indicated that interval estimation was actually the problem statisticians really had in mind. The most prevalent forms of interval estimation are: * confidence intervals (a frequentism|frequentist method); and * credible intervals (a Bayesian probability|Bayesian method). Other common approaches to interval estimation, which are encompassed by statistical theory, are: * Tolerance intervals * Prediction intervals - used mainly in Regression Analysis *...
[展开]
主要的会议/期刊
演化趋势
Chart will load here
Interval Estimation文章数量变化趋势

Feedback
Feedback
Feedback
我想反馈:
排行榜