Process / pipelineinterval-estimation
置信区间
置信区间(CI)是根据样本数据计算得出的一个值范围,它可能包含真实的总体参数。该概念由Jerzy Neyman于1937年提出,它提供的是一个区间估计而非单一的点估计,同时包含了观测值及其不确定性。标准的95%置信区间是一种稳健、直观的替代p值的方法,用于传达研究结果。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Neyman, J. (1937). Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability. Philosophical Transactions of the Royal Society, 236, 333–380. DOI: 10.1098/rsta.1937.0005 ↗
- Altman, D. G., Machin, D., Bryant, T. N., & Gardner, M. J. (1989). Statistics with Confidence. British Medical Journal. ISBN: 0-7279-0222-X
- Cumming, G. (2014). The New Statistics: Why and How. Psychological Science, 25(1), 7–29. DOI: 10.1177/0956797613504966 ↗
如何引用本页
ScholarGate. (2026, June 3). Confidence Interval Estimation and Interpretation in Statistical Inference. ScholarGate. https://scholargate.app/zh/research-statistics/confidence-interval
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →