Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion M Abolghasemi, E Beh, G Tarr, R Gerlach Computers & Industrial Engineering 142, 106380, 2020 | 142 | 2020 |
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 40 (10), 1808-1828, 2015 | 69 | 2015 |
Robust estimation of precision matrices under cellwise contamination G Tarr, S Müller, NC Weber Computational Statistics & Data Analysis 93, 404-420, 2016 | 68 | 2016 |
Relationships between marbling measures across principal muscles M Konarska, K Kuchida, G Tarr, RJ Polkinghorne Meat science 123, 67-78, 2017 | 40 | 2017 |
Prediction of consumer palatability in beef using visual marbling scores and chemical intramuscular fat percentage SM Stewart, GE Gardner, P McGilchrist, DW Pethick, R Polkinghorne, ... Meat Science 181, 108322, 2021 | 37 | 2021 |
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 agriculture 167, 105019, 2019 | 35 | 2019 |
Small sample performance of quantile regression confidence intervals G Tarr Journal of Statistical Computation and Simulation 82 (1), 81-94, 2012 | 34 | 2012 |
The impact of pre-slaughter stress on beef eating quality KMW Loudon, G Tarr, IJ Lean, R Polkinghorne, P McGilchrist, ... Animals 9 (9), 612, 2019 | 31 | 2019 |
Machine learning applications in time series hierarchical forecasting M Abolghasemi, RJ Hyndman, G Tarr, C Bergmeir arXiv preprint arXiv:1912.00370, 2019 | 28 | 2019 |
The effect of packaging on consumer eating quality of beef RJ Polkinghorne, J Philpott, J Perovic, J Lau, L Davies, W Mudannayake, ... Meat science 142, 59-64, 2018 | 27 | 2018 |
The use of biochemical measurements to identify pre-slaughter stress in pasture finished beef cattle KMW Loudon, G Tarr, DW Pethick, IJ Lean, R Polkinghorne, M Mason, ... Animals 9 (8), 503, 2019 | 26 | 2019 |
mplot: An R Package for Graphical Model Stability and Variable Selection Procedures G Tarr, S Müller, A Welsh Journal of Statistical Software 83 (9), 2018 | 21* | 2018 |
A robust scale estimator based on pairwise means G Tarr, S Müller, N Weber Journal of Nonparametric Statistics 24 (1), 187-199, 2012 | 21 | 2012 |
Using infrared thermography on farm of origin to predict meat quality and physiological response in cattle (Bos Taurus) exposed to transport and marketing H Cuthbertson, G Tarr, K Loudon, S Lomax, P White, P McGreevy, ... Meat science 169, 108173, 2020 | 18 | 2020 |
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions M Abolghasemi, G Tarr, C Bergmeir International Journal of Forecasting 40 (2), 597-615, 2024 | 14 | 2024 |
Beef and Lamb carcass grading to underpin consumer satisfaction. DW Pethick, J Thompson, R Polkinghorne, SPF Bonny, G Tarr, P Treford, ... Viandes & Produits Carnés, 2015 | 14* | 2015 |
International research on beef and lamb eating quality. D Pethick, P McGilchrist, R Polkinghorne, R Warner, G Tarr, A Garmyn, ... Viandes & Produits Carnés, 2018 | 11* | 2018 |
Abattoir factors influencing the incidence of dark cutting in Australian grain-fed beef CC Steel, AM Lees, D Bowler, PA Gonzalez-Rivas, G Tarr, RD Warner, ... Animals 11 (2), 474, 2021 | 8 | 2021 |
Fast and approximate exhaustive variable selection for generalised linear models with APES KYX Wang, G Tarr, JYH Yang, S Mueller Australian & New Zealand Journal of Statistics 61 (4), 445-465, 2019 | 8 | 2019 |
Influence of Kiwifruit Extract Infusion on Consumer Sensory Outcomes of Striploin (M. longissimus lumborum) and Outside Flat (M. biceps femoris) from Beef … A Lees, M Konarska, G Tarr, R Polkinghorne, P McGilchrist Foods 8 (8), 332, 2019 | 8 | 2019 |