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34 datasets for “statistical-methods”

  1. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  2. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  3. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  4. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  5. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  6. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  7. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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    • HTML
  8. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

    • PDF
    • HTML
  9. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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    • HTML
  10. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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    • HTML
  11. 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

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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    • HTML
  12. 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 Jun 2026

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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    • HTML
  13. 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 31 Jul 2026

    … 1) regions; 2) statistical methods; 3) sample densities; 4) searching neighbourhoods; and 5) sample stratification. Bathymetry, distance-to …

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  14. data.gov.au

    Lu-Hf analyses of granitic zircons: Distinguishing analytical uncertainty from geological variation

    Geoscience Australia DataUpdated 16 Oct 2025

    … This null hypothesis must then be disproven using common statistical methods. There are many sources of uncertainty in …

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“statistical-methods” datasets · Open Data Finder