Search Results - "Muñoz, David F."

Comparison of five estimation methods for the parameters of the Johnson unbounded distribution using simulated and real-data samples.

Authors: Muñoz, David F.^1,2 (AUTHOR) davidm@itam.mx

Source: Computational Statistics. Dec2025, Vol. 40 Issue 9, p4937-4968. 32p.

Empirical evaluation of initial transient deletion rules for the steady-state mean estimation problem.

Authors: Muñoz, David F.¹ (AUTHOR) davidm@itam.mx

Source: Computational Statistics. Jul2025, Vol. 40 Issue 6, p3041-3065. 25p.

Foreword to the Special Issue on Data Science in Business and Industry.

Authors: Banks, David Martínez‐Ruiz, Alba Muñoz, David F. et al.

Source: Applied Stochastic Models in Business & Industry. May/Jun2025, Vol. 41 Issue 3, p1-2. 2p.

Reducing Latency in Satellite-Based Precipitation Estimates Using GOES-16 and Machine Learning.

Authors: Muñoz, Josué Muñoz, Paul Muñoz, David F. et al.

Source: Journal of Hydrologic Engineering; Dec2025, Vol. 30 Issue 6, p1-13, 13p

Simulation models to support the preliminary electoral results program for the Mexican Electoral Institute.

Authors: Muñoz, David F. Gardida, Héctor Velázquez, Hugo et al.

Source: Annals of Operations Research; Sep2022, Vol. 316 Issue 2, p1141-1156, 16p

Enhancing runoff forecasting through the integration of satellite precipitation data and hydrological knowledge into machine learning models.

Authors: Muñoz, Paul Muñoz, David F. Orellana-Alvear, Johanna et al.

Source: Natural Hazards. Mar2025, Vol. 121 Issue 4, p3915-3937. 23p.

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Towards a typology for hybrid compound flood modeling.

Authors: Radfar, Soheil Moftakhari, Hamed Muñoz, David F. et al.

Source: Hydrology & Earth System Sciences. 2026, Vol. 30 Issue 5, p1397-1420. 24p.

Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques.

Authors: Daramola, Samuel Muñoz, David F. Muñoz, Paul et al.

Source: Water Resources Research; Mar2025, Vol. 61 Issue 3, p1-21, 21p

Quantifying cascading uncertainty in compound flood modeling with linked process-based and machine learning models.

Authors: Muñoz, David F. Moftakhari, Hamed Moradkhani, Hamid

Source: Hydrology & Earth System Sciences. 2024, Vol. 28 Issue 11, p2531-2553. 23p.

Simulation and Analysis of Line 1 of Mexico City's Metrobus: Evaluating System Performance through Passenger Satisfaction.

Authors: Rodriguez, Jose Pablo Muñoz, David F.

Source: AppliedMath. Sep2023, Vol. 3 Issue 3, p664-689. 26p.

Generalizing multi-reward functions aimed at identifying the best locations to install flow control devices in sewer systems.

Authors: Muñoz, David F. Simões, Nuno E. de Sousa, Luís M. et al.

Source: Urban Water Journal. Oct2019, Vol. 16 Issue 8, p564-574. 11p.

A transferable deep learning framework to propagate extreme water levels from sparse tide-gauges across spatial domains.

Authors: Daramola, Samuel Muñoz, David F. Sakib, Md Shadman et al.

Source: Expert Systems with Applications; Mar2026:Part B, Vol. 299, pN.PAG-N.PAG, 1p

Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers.

Authors: Jafarzadegan, Keighobad Muñoz, David F. Moftakhari, Hamed et al.

Source: Natural Hazards & Earth System Sciences. 2022, Vol. 22 Issue 4, p1419-1435. 17p.

Inter‐Model Comparison of Delft3D‐FM and 2D HEC‐RAS for Total Water Level Prediction in Coastal to Inland Transition Zones.

Authors: Muñoz, David F. Yin, Dongxiao Bakhtyar, Roham et al.

Source: Journal of the American Water Resources Association; Feb2022, Vol. 58 Issue 1, p34-49, 16p

Extreme Water Level Simulation and Component Analysis in Delaware Estuary during Hurricane Isabel.

Authors: Yin, Dongxiao Muñoz, David F. Bakhtyar, Roham et al.

Source: Journal of the American Water Resources Association; Feb2022, Vol. 58 Issue 1, p19-33, 15p

Continuous energy consumption measure approach using a DMA double-buffering technique.

Authors: Vaquerizo-Hdez, Daniel Muñoz, Pablo Barrero, David F. et al.

Source: EURASIP Journal on Wireless Communications & Networking; 8/28/2021, Vol. 2021 Issue 1, p1-26, 26p

A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics.

Authors: Daramola, Samuel Muñoz, David F. Moftakhari, Hamed et al.

Source: Environmental Modelling & Software; Jun2025, Vol. 191, pN.PAG-N.PAG, 1p

List of Reviewers.

Source: International Journal of Production Research. Dec2013, Vol. 51 Issue 23/24, p7527-7568. 42p.

Subjects: Aase, Gerald, Abbasi, Babak, Abdi, Reza

Adjusting Emergent Herbaceous Wetland Elevation with Object-Based Image Analysis, Random Forest and the 2016 NLCD.

Authors: Muñoz, David F. Cissell, Jordan R. Moftakhari, Hamed

Source: Remote Sensing. Oct2019, Vol. 11 Issue 20, p2346-2346. 1p.