arXiv (OAI Expanded)
open access
Fractional Cumulative Past Inaccuracy in the Quantile Framework and its Applications
Fraction-based information measures have received considerable attention for describing complex systems, as they enable the investigation of signals with high sensitivity \citep{machado2014fractional}. In this paper, we introduce quantile versions of fractional cumulative past inaccuracy (FCPI) and
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
- The modified conditional sum-of-squares estimator for fractionally integrated models#128284
- Differential predictors of complex fraction approximation and exact calculation in young adults.#182350
- Causal Inference for Heterogeneous Extreme Quantiles with Heavy-Tailed Outcomes#926797
- Measurement of branching fractions of decays to Σ#419917
- Real quantitativeness: what formal investigations can(not) show#747110
Record · ID 1109250
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