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Your search keyword '"hypothesis testing and standard errors in dynamical models"' showing total 3 results
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3 results on '"hypothesis testing and standard errors in dynamical models"'

1. Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data

Author

H. T. Banks, John E. Banks, Jared Catenacci, Michele Joyner, and John Stark

Subjects
plant-insect interactions, inverse problems, hypothesis testing and standard errors in dynamical models, aggregate data, prohorov metric, Biotechnology, TP248.13-248.65, Mathematics, QA1-939
Abstract

We consider a population dynamics model in investigating data from controlled experiments with aphids in broccoli patches surrounded by different margin types (bare or weedy ground) and three levels of insecticide spray (no, light, or heavy spray). The experimental data is clearly aggregate in nature. In previous efforts [1], the aggregate nature of the data was ignored. In this paper, we embrace this aspect of the experiment and correctly model the data as aggregate data, comparing the results to the previous approach. We discuss cases in which the approach may provide similar results as well as cases in which there is a clear difference in the resulting fit to the data.

Published
2020
Full Text
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2. Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data

Author

Michele L. Joyner, Harvey Thomas Banks, Jared Catenacci, John D. Stark, and John E. Banks

Subjects
hypothesis testing and standard errors in dynamical models, Insecta, Population, Population Dynamics, 02 engineering and technology, Margin (machine learning), 0502 economics and business, Statistics, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Animals, Herbivory, Pesticides, education, Mathematics, Herbivore, education.field_of_study, aggregate data, inverse problems, Applied Mathematics, 05 social sciences, Aggregate (data warehouse), Experimental data, General Medicine, plant-insect interactions, Pesticide, prohorov metric, Computational Mathematics, Modeling and Simulation, Aphids, 020201 artificial intelligence & image processing, Aggregate data, General Agricultural and Biological Sciences, TP248.13-248.65, 050203 business & management, Biotechnology
Abstract

We consider a population dynamics model in investigating data from controlled experiments with aphids in broccoli patches surrounded by different margin types (bare or weedy ground) and three levels of insecticide spray (no, light, or heavy spray). The experimental data is clearly aggregate in nature. In previous efforts [1], the aggregate nature of the data was ignored. In this paper, we embrace this aspect of the experiment and correctly model the data as aggregate data, comparing the results to the previous approach. We discuss cases in which the approach may provide similar results as well as cases in which there is a clear difference in the resulting fit to the data.

Published
2020

3. Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data.

Author

Banks HT, Banks JE, Catenacci J, Joyner M, and Stark J

Subjects
Animals, Herbivory, Insecta, Population Dynamics, Aphids, Pesticides
Abstract

We consider a population dynamics model in investigating data from controlled experiments with aphids in broccoli patches surrounded by different margin types (bare or weedy ground) and three levels of insecticide spray (no, light, or heavy spray). The experimental data is clearly aggregate in nature. In previous efforts [1], the aggregate nature of the data was ignored. In this paper, we embrace this aspect of the experiment and correctly model the data as aggregate data, comparing the results to the previous approach. We discuss cases in which the approach may provide similar results as well as cases in which there is a clear difference in the resulting fit to the data.

Published
2019
Full Text
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