Iowa State University Digital Repository
metadata only
Hierarchical models for sport fish escapement probability and growth by modeling latent time-varying length
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
- Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges#610812
- Do continuous-time hierarchical models improve sensor-based biodiversity monitoring methods ?#280372
- Interpretable and predictive models based on high-dimensional data in ecology and evolution#10098
- Spatial and temporal variability in migration of a soaring raptor across three continents#955586
- Mapping global avian influenza risk patterns through waterbird activity entropy.#123200
Record · ID 685202
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