Tags: prediction

All Categories (1-6 of 6)

  1. 1972-R_C_Rothermel-A Mathematical Model for Predicting Fire Spread in Wildland Fuels

    23 Mar 2023 | Teaching Materials | Contributor(s):

    By R C The development of a mathematical model for predicting rate of fire spread and intensity applicable to a wide range of wildland fuels is presented from the conceptual stage through evaluation and demonstration of results to hypothetical fuel models.

    NA

    The development of a mathematical model for predicting rate of fire spread and intensity applicable to a wide range of wildland fuels is presented from the conceptual stage through evaluation and...

    https://qubeshub.org/publications/3839/?v=1

  2. 1-102-CancerTumor-ModelingScenario

    22 May 2022 | Teaching Materials | Contributor(s):

    By Jue Wang

    This module guides students in the use of differential equation models to predict cancer growth and optimize treatment outcomes. Several classical models for cancer growth are studied, including...

    https://qubeshub.org/publications/3223/?v=1

  3. 1-102C-CancerGrowth-ModelingScenario

    22 May 2022 | Teaching Materials | Contributor(s):

    By Jennie D'Ambroise1, Jue Wang

    SUNY Old Westbury, Old Westbury NY USA

    This module guides students in the use of differential equation models to predict cancer growth and study treatment outcomes. Several classical models for cancer growth are presented including...

    https://qubeshub.org/publications/3222/?v=1

  4. 1-122-SpreadPEV-ModelingScenario

    22 May 2022 | Teaching Materials | Contributor(s):

    By Brian Winkel

    SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

    We present data on world sales data of plug-in electric vehicles (PEVs) and request a model on the rate of change in sales over time, leading to prediction as to number of PEVs in the future.

    https://qubeshub.org/publications/3210/?v=1

  5. 6-067-LotkaVolterra-ModelingScenario

    16 May 2022 | Teaching Materials | Contributor(s):

    By Iordanka Panayotova1, Maila Hallare2

    1. Christopher Newport University 2. NSU Math

    This modeling scenario guides students through the process of fitting the Lotka-Volterra model of two differential equations to a real time series observational data. Students use the capabilities...

    https://qubeshub.org/publications/3079/?v=1

  6. Making Predictions with Linear Models: A Murder Mystery Case Study

    31 May 2021 | Teaching Materials | Contributor(s):

    By Miranda Chen Musgrove1, Lisa A. Corwin1, Andrew Martin1

    University of Colorado, Boulder

    This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.

    https://qubeshub.org/publications/2396/?v=1