Maximum Full Likelihood Approach to Randomly Truncated Data

Name: Maximum Full Likelihood Approach to Randomly Truncated Data
Creator: East China Normal University; National Institutes of Health
Published: 2023-12-30T00:00:00+08:00

科学数据银行2024-01-16 更新2026-04-23 收录

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资源简介：

Data and supplementary material for the paper "Maximum Full Likelihood Method for Randomly Truncated Data". Results of simulation studies and real data are also presented.This supplementary material contains complete proofs of theorems from the main paper, additional examples, and supplementary tables.

提供机构：

East China Normal University; National Institutes of Health

创建时间：

2023-12-30

Maximum Full Likelihood Approach to Randomly Truncated Data

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