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Garth Tarr
Garth Tarr
Associate Professor, University of Sydney, Australia
Verifierad e-postadress på sydney.edu.au - Startsida
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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
1982020
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
752015
Robust estimation of precision matrices under cellwise contamination
G Tarr, S Müller, NC Weber
Computational Statistics & Data Analysis 93, 404-420, 2016
712016
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
562021
Relationships between marbling measures across principal muscles
M Konarska, K Kuchida, G Tarr, RJ Polkinghorne
Meat science 123, 67-78, 2017
442017
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
422019
Small sample performance of quantile regression confidence intervals
G Tarr
Journal of Statistical Computation and Simulation 82 (1), 81-94, 2012
382012
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
372019
Machine learning applications in time series hierarchical forecasting
M Abolghasemi, RJ Hyndman, G Tarr, C Bergmeir
arXiv preprint arXiv:1912.00370, 2019
342019
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
282019
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
282018
A robust scale estimator based on pairwise means
G Tarr, S Müller, N Weber
Journal of Nonparametric Statistics 24 (1), 187-199, 2012
242012
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
23*2018
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
222020
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
212024
International research on beef and lamb eating quality.
D Pethick, P McGilchrist, R Polkinghorne, R Warner, G Tarr, A Garmyn, ...
Viandes & Produits Carnés, 2018
15*2018
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
15*2015
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
112021
Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine
KYX Wang, GM Pupo, V Tembe, E Patrick, D Strbenac, SJ Schramm, ...
npj Digital Medicine 5 (1), 85, 2022
9*2022
The impact of weather on the incidence of dark cutting in Australian feedlot cattle
C Steel, AM Lees, G Tarr, R Warner, F Dunshea, F Cowley, P McGilchrist
International Journal of Biometeorology 66 (2), 263-274, 2022
92022
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Artiklar 1–20