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  • Funded Activity

    Discovery Projects - Grant ID: DP0663423

    Funder
    Australian Research Council
    Funding Amount
    $164,000.00
    Summary
    Efficient Design for Generalized Linear Models. In industrial, commercial and social research, we collect data in order to predict the outcome of a process based on the inputs to that process. We want to maximize the information that is gained from the data. Good planning is crucially important to achieve this. This project will determine how best to select the inputs to the process for many situations that occur in research. A computer package to answer these questions will be written. The nati .... Efficient Design for Generalized Linear Models. In industrial, commercial and social research, we collect data in order to predict the outcome of a process based on the inputs to that process. We want to maximize the information that is gained from the data. Good planning is crucially important to achieve this. This project will determine how best to select the inputs to the process for many situations that occur in research. A computer package to answer these questions will be written. The nation will benefit from a fundamental increase in efficiency of research and, therefore, in efficient use of research dollars.
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    Funded Activity

    Linkage Projects - Grant ID: LP0214188

    Funder
    Australian Research Council
    Funding Amount
    $110,135.00
    Summary
    A toolkit of statistical methodology for a state-of-the-art software and decision support system for forest assessment using new airborne data. The aim is to develop statistical methods for efficient collection and interpretation of airborne laser data and videography, used to describe characteristics of the forest such as tree species, stand history and vertical distribution of foliage, and hence biodiversity and biomass. This is significant for meeting Australia's international and national en .... A toolkit of statistical methodology for a state-of-the-art software and decision support system for forest assessment using new airborne data. The aim is to develop statistical methods for efficient collection and interpretation of airborne laser data and videography, used to describe characteristics of the forest such as tree species, stand history and vertical distribution of foliage, and hence biodiversity and biomass. This is significant for meeting Australia's international and national environmental obligations, providing quality information to farmers and industry, and hence developing potential jobs in regional areas. Outcomes include a toolkit of statistical methods applicable to spatial modelling and analysis of very large datasets, a statistically valid software product, marketable estimation methods in carbon accounting, technology transfer, training, publications.
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