The optimal prediction of cross-sectional proportions in categorical panel-data analysis

DOI10.2307/3315646zbMath0934.62098OpenAlexW2156909210MaRDI QIDQ4267416

Ping Zhang

Publication date: 19 December 1999

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315646

zbMATH Keywords

Neyman-Pearson lemmaunderdispersionnonrandomized predictorsrandomized predictors

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Monte Carlo methods (65C05)

Cites Work

• Estimating the dimension of a model
• Prediction functions for categorical panel data
• Informative Drop-Out in Longitudinal Data Analysis
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: The optimal prediction of cross-sectional proportions in categorical panel-data analysis