Process / pipelineTarama ve gözlemsel desen
模拟辅助假设检验研究
模拟辅助假设检验研究使用计算模拟——重采样、排列或蒙特卡洛方法——来构建零分布和评估假设，以替代或补充解析概率论。研究者不假设参数分布并查阅表格，而是从观测数据或指定模型生成数千个模拟数据集，构建经验零分布，并将观测到的检验统计量与之进行比较。当无法满足解析假设（正态性、大样本）时，该方法尤其有价值。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Efron, B., & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman and Hall/CRC. ISBN: 978-0412042317
- Good, P. I. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387988641
如何引用本页
ScholarGate. (2026, June 3). Simulation-Assisted Hypothesis Testing Research. ScholarGate. https://scholargate.app/zh/research-design/simulation-assisted-hypothesis-testing-research
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.
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