Modelling populations ofLygus hesperuson cotton fields in the San Joaquin Valley of California: the importance of statistical and mathematical model choice

DOI10.1080/17513758.2016.1143533zbMath1447.92550OpenAlexW2285744674WikidataQ39995065 ScholiaQ39995065MaRDI QIDQ3300905

John E. Banks, J. A. Rosenheim, Kristen Tillman, Harvey Thomas Banks

Publication date: 31 July 2020

Published in: Journal of Biological Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17513758.2016.1143533

zbMATH Keywords

inverse problemmodel selectiongeneralized least squaresordinary least squaresinformation contentbootstrappinglinear splinesresidual plotsherbivorypesticidehemipterapest suppression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Population dynamics (general) (92D25) Mathematical modeling or simulation for problems pertaining to biology (92-10) Pest management (92D45)

Related Items (3)

Use of difference-based methods to explore statistical and mathematical model discrepancy in inverse problems ⋮ Modelling and stability analysis of cotton leaf curl virus (CLCuV) transmission dynamics in cotton plant ⋮ Optimal design for dynamical modeling of pest populations

Uses Software

• Prism

Cites Work

• Use of difference-based methods to explore statistical and mathematical model discrepancy in inverse problems
• Statistical methods for model comparison in parameter estimation problems for distributed systems
• Model comparison tests to determine data information content
• Modeling and Inverse Problems in the Presence of Uncertainty
• Information content in data sets for a nucleated-polymerization model
• Model Selection and Multimodel Inference
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