Repositório Institucional da UFMG
metadata only
Bootstrap methods for generalized autoregressive moving average models
This final paper aims to find a suitable Bootstrap Method for the Generalized Autoregressive Moving Average Model. The focus is on the Moving Block Bootstrap (MBB) resampling scheme with its performance being evaluated through a Monte Carlo study and contrasted to their asymptotic Gaussian counterpa
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
- Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs#239233
- Drifting Models for Surrogate Flow Modeling#266159
- Graph Adaptive Autoregressive Moving Average Models#202793
- The Ja Model: Methodology and Empirical Demonstration of the MUja Framework (Damped Oscillator Reconstruction and GRACE FO 1 Satellite Drag Analysis)#694402
- The irrelevance of bootstrapping#710959
Record · ID 781804
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