Small Samples in Contingency Tables
研究了列联表分析中改进渐近方法的三种途径：更优的单元格频数矩近似、基于枚举的精确分布以及无法枚举时的随机模拟抽样。
The analysis of some contingency tables is based on hierarchical log linear models. Inferences about sets of parameters can then be made from conditional distributions. We discuss three ways of improving the asymptotic methods generally used in practice. They comprise (i) better approximations to moments of cell frequencies than those derived from the iterative scaling procedure, (ii) exact distributions obtained by enumerating all tables consistent with given marginal totals, and (iii) simulated random sampling for tables where exact enumeration is impossible.