eScholarship
metadata only
Stratified Multiple Imputation Estimation for Complex Surveys
This research presents an approach to conducting multiple imputation of the R&D expenditures of businesses. It could be titled: don’t forget the past when imputing the present.The approach uses all past years of survey data to learn about the attrition patterns of businesses. This gives a criter
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A comparison of multiple imputation methods for missing data in longitudinal studies 01 Mathematical Sciences#1005314
- 5 CFR Part 847 — Elections of Retirement Coverage by Current and Former Employees of Nonappropriated Fund Instrumentalities#504090
- Model-based estimation and imputation with torus missing values#1035946
- The mediating effect of cloud-based accounting systems on the relationship between technological advancement and the efficiency and effectiveness of auditing practice in the top 4 auditing firms in the Philippines#373269
- Conducting and interpreting disproportionality analyses derived from spontaneous reporting systems#219316
Record · ID 970633
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive