Complex data, model selection and bootstrap inference. The project will provide new statistical methods and associated software for the analysis and modelling of complex data, as well as quality research training. This project will benefit researchers in statistics and users of statistics who encounter the complex data considered in this project and who need to model and make inferences from these data. Since these kinds of data arise in many areas (such as medicine, genetics, chemistry etc), ....Complex data, model selection and bootstrap inference. The project will provide new statistical methods and associated software for the analysis and modelling of complex data, as well as quality research training. This project will benefit researchers in statistics and users of statistics who encounter the complex data considered in this project and who need to model and make inferences from these data. Since these kinds of data arise in many areas (such as medicine, genetics, chemistry etc), Australia and Australian industry will ultimately benefit from the proposed research. The strengthening of international link and the training of highly trained research scientists in an area of national importance will also benefit Australia.Read moreRead less
Bootstrap methods for data with multiple errors. This project will provide new methods for data analysis and quality research training. The results will benefit researchers in statistics and users of statistics who encounter data with multiple errors and who need to make inferences from these data. The many areas from which such data arise (including medicine, genetics, chemistry, education, social surveys etc) mean that Australia and Australian Industry will also ultimately benefit from the r ....Bootstrap methods for data with multiple errors. This project will provide new methods for data analysis and quality research training. The results will benefit researchers in statistics and users of statistics who encounter data with multiple errors and who need to make inferences from these data. The many areas from which such data arise (including medicine, genetics, chemistry, education, social surveys etc) mean that Australia and Australian Industry will also ultimately benefit from the research. The strengthening of international links and the training of highly trained researchers will also benefit the Australian community.Read moreRead less
New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information o ....New methods for small group analysis from sample surveys. National and state averages of statistics on issues such as unemployment, salinity, drought impact, and health often hide large differences between population sub-groups and between small areas. This local variation needs to be understood so that effective policies can be developed and carried out efficiently and their impact monitored. This project will provide, for the first time, robust and efficient methods for providing information on these variations using data from large-scale national and state surveys. This will lead to significant improvements in the data available for small population groups and small areas, allowing better targeting of policies aimed at addressing local differences.Read moreRead less
Handling Missing Data in Complex Household Surveys. The Australian Bureau of Statistics (ABS) has an extensive program of household surveys that is a key source of information on the social and economic conditions of the population. They provide statistics and data on a large range of social and economic topics, such as health, education, the labour force, income and expenditure. Analysis of household survey data by a variety of organisations underpins policy development and evaluation and the e ....Handling Missing Data in Complex Household Surveys. The Australian Bureau of Statistics (ABS) has an extensive program of household surveys that is a key source of information on the social and economic conditions of the population. They provide statistics and data on a large range of social and economic topics, such as health, education, the labour force, income and expenditure. Analysis of household survey data by a variety of organisations underpins policy development and evaluation and the expenditure of billions of dollars. This project will substantially improve the cost-efficiency and reliability of Australian household survey data, by creating new approaches for handling missing data that deal with the realities of typical household surveys.Read moreRead less
Next-generation latent fingermark detection using functional nanomaterials. Next-generation latent fingermark detection using functional nanomaterials. This project aims to develop a nanotechnology-based fingermark detection technique applicable in standard police laboratories and crime scenes. Current methods only detect half the fingermarks on an object, so many criminals are not identified. This project will use silicon oxide nanoparticles with a luminescent dye to target fingermark secretion ....Next-generation latent fingermark detection using functional nanomaterials. Next-generation latent fingermark detection using functional nanomaterials. This project aims to develop a nanotechnology-based fingermark detection technique applicable in standard police laboratories and crime scenes. Current methods only detect half the fingermarks on an object, so many criminals are not identified. This project will use silicon oxide nanoparticles with a luminescent dye to target fingermark secretion components and address interference from substrate chemistries and background luminescence. Moving away from traditional detection methods is expected to improve law enforcement outcomes, as fingermarks that current technologies cannot detect will be visualised for the first time.Read moreRead less
Predicting Roll Angular Motion. The roll angular motion, or RAM, of a ship denotes its oscillation about its longitudinal axis, primarily caused by wave motion. The ability to predict RAM is of significant practical utility. For example, in defence-related work it plays a role in determining accuracy of weapons systems. We suggest a technique for predicting RAM. Our method borrows from both parametric and nonparametric statistics, in that a sinusoidal model is fitted to data but only over a ....Predicting Roll Angular Motion. The roll angular motion, or RAM, of a ship denotes its oscillation about its longitudinal axis, primarily caused by wave motion. The ability to predict RAM is of significant practical utility. For example, in defence-related work it plays a role in determining accuracy of weapons systems. We suggest a technique for predicting RAM. Our method borrows from both parametric and nonparametric statistics, in that a sinusoidal model is fitted to data but only over a short time interval. We show how to both assess and correct error. In particular, we propose methods for attaching probabilities to the accuracy of predictions.Read moreRead less
NONPARAMETRIC STATISTICS. Nonparametric statistical methods are techniques that implicitly choose statistical models from exceptionally large and highly adaptive classes. The project aims to develop innovative and practicable nonparametric methods in four areas: Statistical Smoothing, Data Mining, Mixture Methods and Robust Inference. The significance of the work lies in its novelty, the breadth of its practical motivation, and its position at the leading edge of contemporary work in statisti ....NONPARAMETRIC STATISTICS. Nonparametric statistical methods are techniques that implicitly choose statistical models from exceptionally large and highly adaptive classes. The project aims to develop innovative and practicable nonparametric methods in four areas: Statistical Smoothing, Data Mining, Mixture Methods and Robust Inference. The significance of the work lies in its novelty, the breadth of its practical motivation, and its position at the leading edge of contemporary work in statistics. Expected outcomes include new technologies for data analysis.Read moreRead less
Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. This project aims to develop a novel biosensor prototype based on CYBERNOSE® technology to rapidly identify volatile traces of illicit drugs and precursor chemicals in concealed environments. The CYBERNOSE® technology employs sensors using the highly sophisticated and sensitive olfactory receptors of microscopic nematode worms linked to an optoelectronic det ....Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. Rapid CYBERNOSE ® detection of illicit drugs and precursor chemicals. This project aims to develop a novel biosensor prototype based on CYBERNOSE® technology to rapidly identify volatile traces of illicit drugs and precursor chemicals in concealed environments. The CYBERNOSE® technology employs sensors using the highly sophisticated and sensitive olfactory receptors of microscopic nematode worms linked to an optoelectronic detector. The need for rapid, non-contact screening devices to detect and identify illicit drugs and precursors entering Australia has never been greater. Law enforcement agencies should directly benefit from the capability to more rapidly screen people and cargo, improving efficiency of illicit drug detection and protection of our borders.Read moreRead less
Illicit drug profiling in forensic intelligence. Illicit drug profiling in forensic intelligence. This project aims to develop an optimised methodology that uses illicit drug profiling for operational intelligence. The fight against the illicit drug trade suffers from a relatively ineffective use of forensic science, predominantly applied as a reactive tool for court purposes after the commission of a crime, and a general under-utilisation of available information by Australian forensic drug lab ....Illicit drug profiling in forensic intelligence. Illicit drug profiling in forensic intelligence. This project aims to develop an optimised methodology that uses illicit drug profiling for operational intelligence. The fight against the illicit drug trade suffers from a relatively ineffective use of forensic science, predominantly applied as a reactive tool for court purposes after the commission of a crime, and a general under-utilisation of available information by Australian forensic drug laboratories whose scientific results contribute minimally to active operations. This project’s methodology, which uses forensic science proactively for intelligence rather than reactively for courts, is expected to make the fight against organised crime more effective and support the three pillars of the Australian National Drug Strategy (supply, demand and harm reduction).Read moreRead less
Investigating memory reliability in intoxicated witnesses of crime. Eyewitness testimony is a crucial piece of evidence for solving a crime. Inaccurate testimony leads to miscarriages of justice such as failed prosecutions or false convictions. Many witnesses and victims are affected by alcohol or other drugs during the crime. This project brings together a multidisciplinary team aiming to improve understanding of how intoxication with different substances affects the reliability of victim and w ....Investigating memory reliability in intoxicated witnesses of crime. Eyewitness testimony is a crucial piece of evidence for solving a crime. Inaccurate testimony leads to miscarriages of justice such as failed prosecutions or false convictions. Many witnesses and victims are affected by alcohol or other drugs during the crime. This project brings together a multidisciplinary team aiming to improve understanding of how intoxication with different substances affects the reliability of victim and witness memory accuracy. Crucially, crimes are frequently distressing; therefore the interaction between intoxication and stress urgently requires exploration. This project will significantly advance our understanding of key mechanisms behind drug effects on memory, and support fairer judicial outcomes for all. Read moreRead less