✦ LIBER ✦

Testing implication of hierarchical log-linear models for probability distributions

✍ Scribed by F. M. Malvestuto

Publisher: Springer US
Year: 1996
Tongue: English
Weight: 811 KB
Volume: 6
Category: Article
ISSN: 0960-3174
DOI: 10.1007/bf00162528

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Fully recursive probability models and m

Fully recursive probability models and multivariate log-linear probability models for the analysis of qualitative data

✍ Lung-Fei Lee 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 953 KB

Asymptotic expansion of the null distrib

Asymptotic expansion of the null distribution of test statistic for linear hypothesis in nonnormal linear model

✍ Hirokazu Yanagihara 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 250 KB

This paper is concerned with the null distribution of test statistic T for testing a linear hypothesis in a linear model without assuming normal errors. The test statistic includes typical ANOVA test statistics. It is known that the null distribution of T converges to w 2 when the sample size n is l