User profiles for Garth Tarr
Garth TarrAssociate Professor, University of Sydney, Australia Verified email at sydney.edu.au Cited by 662 |
Robust estimation of precision matrices under cellwise contamination
There is a great need for robust techniques in data mining and machine learning contexts
where many standard techniques such as principal component analysis and linear …
where many standard techniques such as principal component analysis and linear …
Machine learning applications in time series hierarchical forecasting
Hierarchical forecasting (HF) is needed in many situations in the supply chain (SC) because
managers often need different levels of forecasts at different levels of SC to make a decision…
managers often need different levels of forecasts at different levels of SC to make a decision…
Small sample performance of quantile regression confidence intervals
G Tarr - Journal of Statistical Computation and Simulation, 2012 - Taylor & Francis
Since the introduction of regression quantiles for estimating conditional quantile functions
there has been ongoing research into how best to construct confidence intervals for parameter …
there has been ongoing research into how best to construct confidence intervals for parameter …
Relationships between marbling measures across principal muscles
M Konarska, K Kuchida, G Tarr, RJ Polkinghorne - Meat science, 2017 - Elsevier
As marbling is a principal input into many grading systems it is important to have an
accurate and reliable measurement procedure. This paper compares three approaches to …
accurate and reliable measurement procedure. This paper compares three approaches to …
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
The demand for a particular product or service is typically associated with different uncertainties
that can make them volatile and challenging to predict. Demand unpredictability is one …
that can make them volatile and challenging to predict. Demand unpredictability is one …
Measuring the effects of peer learning on students' academic achievement in first-year business statistics
D Dancer, K Morrison, G Tarr - Studies in Higher Education, 2015 - Taylor & Francis
Peer-assisted study session (PASS) programs have been shown to positively affect students'
grades in a majority of studies. This study extends that analysis in two ways: controlling for …
grades in a majority of studies. This study extends that analysis in two ways: controlling for …
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions
Hierarchical forecasting is needed in many situations in the supply chain to support decision
making. Top-down, bottom-up, and optimal linear combination methods are common in …
making. Top-down, bottom-up, and optimal linear combination methods are common in …
Methodology for data processing and analysis techniques of infrared video thermography used to measure cattle temperature in real time
H Cuthbertson, G Tarr, LA González - Computers and electronics in …, 2019 - Elsevier
Core body temperature is a measurement used to evaluate and diagnose the health status
of cattle, with rectal temperature measured using an indwelling probe being the preferred …
of cattle, with rectal temperature measured using an indwelling probe being the preferred …
[HTML][HTML] The impact of pre-slaughter stress on beef eating quality
Simple Summary Consumer satisfaction is essential to the beef industry to ensure return
protein purchasing. The Meat Standards Australia grading system has been pivotal in …
protein purchasing. The Meat Standards Australia grading system has been pivotal in …
[HTML][HTML] The use of biochemical measurements to identify pre-slaughter stress in pasture finished beef cattle
Simple Summary Producing a product that delivers a consistently high-quality eating experience
is paramount to the Australian beef industry to ensure consumer satisfaction and return …
is paramount to the Australian beef industry to ensure consumer satisfaction and return …