Mean loglikelihood and higher-order approximations

成果类型:
Article
署名作者:
Reid, N.; Fraser, D. A. S.
署名单位:
University of Toronto
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/asq001
发表日期:
2010
页码:
159170
关键词:
likelihood ratio tail probabilities inference models asymptotics
摘要:
Higher-order approximations to p-values can be obtained from the loglikelihood function and a reparameterization that can be viewed as a canonical parameter in an exponential family approximation to the model. This approach clarifies the connection between Skovgaard (1996) and Fraser et al. (1999a), and shows that the Skovgaard approximation can be obtained directly using the mean loglikelihood function.