Data

Final Report: Joint investigation into statistical methodologies underpinning the derivation of toxicant guideline values in Australia and New Zealand

Australian Institute of Marine Science
Australian Institute of Marine Science (AIMS) ; Australian Institute of Marine Science (AIMS) & Environmentrics Australia
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25845/fm9b-7n28&rft.title=Final Report: Joint investigation into statistical methodologies underpinning the derivation of toxicant guideline values in Australia and New Zealand&rft.identifier=https://doi.org/10.25845/fm9b-7n28&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=This report summarises the outcomes of a one-year joint collaborative research project involving Australian and Canadian researchers who undertook extensive investigations into methodologies and tools associated with SSD modelling, focusing on Burrlioz and ssdtools.Research undertaken included exploring and resolving issues with numerical instability and developing alternative solutions for estimating hazard concentrations (HCx) and/or associated 95% confidence intervals of the Burr III and inverse Pareto distributions; comparisons between Burrlioz and ssdtools using collated benchmark and synthetic datasets; the development and evaluation of mixture distributions as a potential candidate for accommodating bimodal data; and an assessment of bias and coverage across a range of candidate distribution sets used in model averaging. Based on the findings, the project recommends that the Australian-New Zealand and Canadian jurisdictions adopt the R-package ssdtools using an expanded default set of distributions.The report was prepared for the Department of Agriculture, Water and the Environment.Maintenance and Update Frequency: notPlanned&rft.creator=Australian Institute of Marine Science (AIMS) &rft.creator=Australian Institute of Marine Science (AIMS) & Environmentrics Australia &rft.date=2026&rft_rights=All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

view details

All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

The data was collected under contract between AIMS and another party(s). Specific agreements for access and use of the data shall be negotiated separately. Contact the AIMS Data Centre ([email protected]) for further information

Access:

Open

Full description

This report summarises the outcomes of a one-year joint collaborative research project involving Australian and Canadian researchers who undertook extensive investigations into methodologies and tools associated with SSD modelling, focusing on Burrlioz and ssdtools.


Research undertaken included exploring and resolving issues with numerical instability and developing alternative solutions for estimating hazard concentrations (HCx) and/or associated 95% confidence intervals of the Burr III and inverse Pareto distributions; comparisons between Burrlioz and ssdtools using collated benchmark and synthetic datasets; the development and evaluation of mixture distributions as a potential candidate for accommodating bimodal data; and an assessment of bias and coverage across a range of candidate distribution sets used in model averaging. Based on the findings, the project recommends that the Australian-New Zealand and Canadian jurisdictions adopt the R-package ssdtools using an expanded default set of distributions.


The report was prepared for the Department of Agriculture, Water and the Environment.

Lineage

Maintenance and Update Frequency: notPlanned

Notes

Credit
Fisher, R (AIMS)
Credit
Thorley, J.L. Environmetrics Australia
Credit
Schwarz, C. Environmetrics Australia
Credit
Fox, D.R. Environmetrics Australia

Modified: 25 09 2026

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Subjects
oceans |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Other Information
Also linked on Environmetrics Australia - https://environmetrics.net/resources/documents-and-reports/

url : https://environmetrics.net/resources/documents-and-reports/

Fox D.R., Fisher R., Thorley J.L., Schwarz C. (2022) Joint Investigation into statistical methodologies underpinning the derivation of toxicant guideline values in Australia and New Zealand. Report prepared for the Department of Agriculture, Water and the Environment. Environmetrics Australia, Beaumaris, Vic and the Australian Institute of Marine Science, Perth, WA. (167 pp). https://doi.org/10.25845/fm9b-7n28

url : https://api.aims.gov.au/data-v2.0/b0a85a12-7409-4199-83d4-9691fa1daaa4/files/FOX and FISHER Final_final_report_rev2.3.pdf

Identifiers
  • global : b0a85a12-7409-4199-83d4-9691fa1daaa4
ACN 633 798 857