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.

Autobiografía Académica del Dr. David Fernando Muñoz: Ingeniería industrial al servicio de la sociedad.

Alternate Title: Academic Autobiography of Dr. David Fernando Muñoz: Industrial Engineering at the service of society.

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

Source: Información Tecnológica. Oct2025, Vol. 36 Issue 5, p45-56. 12p.

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.

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.

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.

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 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.

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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.

Subjects: Water levels, Flood forecasting, Emergency management, Deep learning, Flood risk, Flood warning systems, Cyclones, Tropical cyclones

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

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.

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.

A C++ library for fast simulation of queues and some experimental results.

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

Source: AIP Conference Proceedings. 2024, Vol. 3094 Issue 1, p1-4. 4p.

MULTIVARIATE STANDARDIZED TIME SERIES FOR STEADY-STATE SIMULATION OUTPUT ANALYSIS.

Authors: Muñoz, David F. Glynn, Peter W.

Source: Operations Research. May/Jun2001, Vol. 49 Issue 3, p413-422. 10p. 3 Charts.

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.

Subjects: Deep learning, Water levels, Tide gages, Spatiotemporal processes, Storm surges, Hydrodynamics

Geographic Terms: Galveston Bay (Tex.)

Initial transient deletion rules for steady-state simulation.

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

Source: AIP Conference Proceedings. 2023, Vol. 2849 Issue 1, p1-4. 4p.

Breaking down annual and tropical cyclone-induced nonlinear interactions in total water levels.

Authors: Sakib, Md Shadman Muñoz, David F. Wahl, Thomas

Source: Advances in Water Resources. Dec2025, Vol. 206, pN.PAG-N.PAG. 1p.

Subjects: Tropical cyclones, Water levels, Transients (Dynamics), Coastal changes, Estuaries, Flood control, Climate change

Geographic Terms: Chesapeake Bay (Md. & Va.), United States

El Problema del Voceador con Incertidumbre Paramétrica.

Alternate Title: The Newsvendor Problem under Parametric Uncertainty.

Authors: Muñoz, David F. Muñoz, David G. Ramírez-López, Adán

Source: Información Tecnológica. 2016, Vol. 27 Issue 4, p183-192. 10p.

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.

Subjects: Ocean dynamics, Streamflow, Decision making, Forecasting, Government agencies, Water levels

Geographic Terms: Delaware Bay (Del. & N.J.)