Hypothesis testClassical statistics
稳健卡方检验
稳健卡方检验将经典的皮尔逊卡方框架进行了扩展，使其在标准假设（尤其是最小期望单元格计数规则）被违反时仍能保持可靠。通过使用幂散度统计量（Cressie & Read, 1984）或基于重抽样的校正，该检验能够为稀疏列联表、小样本和类别数据不平衡（此时普通卡方近似失效）提供有效的推断。
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来源
- Cressie, N., & Read, T. R. C. (1984). Multinomial goodness-of-fit tests. Journal of the Royal Statistical Society: Series B, 46(3), 440–464. DOI: 10.1111/j.2517-6161.1984.tb01318.x ↗
- Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933
如何引用本页
ScholarGate. (2026, June 3). Robust Chi-Square Test of Independence / Goodness-of-Fit. ScholarGate. https://scholargate.app/zh/statistics/robust-chi-square-test
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