Mathematical Sciences: Analysis of Qualitative Data with Log-Linear Models

定性数据的对数线性模型通常被分析 通过对最大值的大样本近似， 似然估计和加权最小二乘估计。计算 问题已作了相应的确切的测试和信心 间隔很难使用。使用Newton-Raphson 算法的计算和回落略少 最佳程序减少了问题。对模型进行了扩展 随机效应的定性数据以及 与模型大致一致。

Log-linear models for qualitative data are usually analyzed by means of the large-sample approximations for maximum- likelihood and weighted-least-squares estimators. Computational problems have made the corresponding exact tests and confidence intervals difficult to use. Employing the Newton-Raphson algorithm for the computation and falling back on slightly less optimal procedures reduces the problems. The models are extended to qualitative data with random effects as well as data which is only approximately consistent with the model.