| Method for testing causal non response for datasets, involves combining survey information with complete administrative records by assuming population distribution that follows approximately Cox regression model | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069498-A |
| 成果简介 | NOVELTY - The method involves combining survey information with complete administrative records by assuming population distribution that follows approximately a Cox regression model, and Monte Carlo study shows estimation and testing results for the Cox regression model under dependence of non response probability on explanatory variables, under data contamination and under dependence of unemployment time on unobserved explanatory variables. USE - Method for testing causal non response for datasets. ADVANTAGE - The method effectively tests the causality non-response in an effective manner. |
| IPC 分类号 | G06F-017/11 ; G06F-017/18 ; G06N-020/00 ; G06N-005/00 ; G09B-019/00 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/19616 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | RAMACHANDRAN V,CHIDAMBARAM K,NAVEENCHANDRAN P,et al. Method for testing causal non response for datasets, involves combining survey information with complete administrative records by assuming population distribution that follows approximately Cox regression model. IN202341069498-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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