PREDICTION FUNCTIONS FOR CATEGORICAL PANEL-DATA

• 成果类型: Article
• 署名作者: GILULA, Z; HABERMAN, SJ
• 署名单位: Northwestern University
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/aos/1176324701
• 发表日期: 1995
• 页码: 1130-1142
• 关键词: multidimensional contingency tables; cross-classified data; graphical displays; models; CLASSIFICATIONS

摘要

Prediction of categorical responses in panel studies is considered. Prediction functions based on general conditional log-linear models are investigated for statistical properties both from a population perspective and a sampling perspective. Problems such as existence and uniqueness of optimal prediction functions are addressed, and basic properties of measures of prediction quality are examined. Estimation, consistency and asymptotic normality are studied for the proposed parameter estimates and measures of prediction quality.