Asymptoic efficiency of M.L.E. using prior survey in multinomial distributions

DOI10.1080/03610926.2020.1753077OpenAlexW3017191046MaRDI QIDQ5079269

Sheena Yo

Publication date: 25 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.06826

zbMATH Keywords

asymptotic expansionKullback-Leibler divergenceestimation risk

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Statistics (62-XX)

Uses Software

• PracTools

Cites Work

• Unnamed Item
• Unnamed Item
• Practical tools for designing and weighting survey samples
• Information geometry and its applications
• Asymptotic expansion of the risk of maximum likelihood estimator with respect to α-divergence
• The Combination of Estimates from Different Experiments

This page was built for publication: Asymptoic efficiency of M.L.E. using prior survey in multinomial distributions