Inference of non-centrality parameter of a truncated non-central chi-squared distribution

DOI10.1016/j.jspi.2008.11.007zbMath1160.62016OpenAlexW2020880251MaRDI QIDQ1015893

Qizhai Li, Kai Yu

Publication date: 30 April 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.11.007

zbMATH Keywords

inadmissibilitymean-squared errorgeneralized Bayes rulemoment estimatetruncated non-central chi-squared distribution

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Admissibility in statistical decision theory (62C15)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A complete class theorem for estimating a noncentrality parameter
• A necessary condition for admissibility
• Estimation of the non-centrality parameter of a chi squared distribution
• A complete class theorem for strict monotone likelihood ratio with applications
• Estimation of a non-centrality parameter under Stein-type-like losses
• Confidence intervals for the noncentral chi-squared distribution
• Statistical monitoring of clinical trials. A unified approach.
• Power/Sample Size Calculations for Generalized Linear Models
• Some remarks on estimating a noncentrality parameter
• Further remarks on estimating the parameter of a noncentral chi-square distribution
• Estimation of noncentrality parameters
• Designed Extension of Studies Based on Conditional Power
• Evaluation of Experiments with Adaptive Interim Analyses
• The Maximum Likelihood Estimate of the Non-Centrality Parameter of a Non-Central χ 2 Variate
• Admissible Estimators, Recurrent Diffusions, and Insoluble Boundary Value Problems