Search results for RMA
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68 datasets for “RMA”
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 16 Oct 2025
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 20 Jan 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 2 Mar 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 7 Mar 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 25 Mar 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 20 Apr 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 30 Apr 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Geoscience Australia DataUpdated 14 May 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 11 Jan 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 23 Jan 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 12 Feb 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 5 Mar 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 16 Mar 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 29 Mar 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 4 Apr 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 10 Apr 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 16 Apr 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 5 May 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 4 Jun 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML
- data.gov.au
Predicting Seabed Mud Content across the Australian Margin: Comparison of Statistical and Mathematical Techniques Using a Simulation Experiment
Australian Ocean Data NetworkUpdated 16 Jun 2026
… This method is novel, with a relative mean absolute error (RMAE) up to 17% less than that of …
- HTML