Items where Subject is "49 MATHEMATICAL SCIENCES > 4905 Statistics > 490501 Applied statistics"
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- 49 MATHEMATICAL SCIENCES (271)
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- 490501 Applied statistics (51)
- 4905 Statistics (151)
- 49 MATHEMATICAL SCIENCES (271)
A
Adegboye, Oyelola (2022) Field Burning Fallout: Quantifying PM2.5 Emissions from Sugarcane Fires. Environmental Health Perspectives, 130 (8). 084003.
Ababaei, Behnam, and Najeeb, Ullah (2020) Detection of major weather patterns reduces number of simulations in climate impact studies. Journal of Agronomy and Crop Science, 206 (3). pp. 376-389.
Adegboye, Oyelola, Tomoki, Fijjii, and Leung, Denis H.Y. (2020) Refusal bias in HIV data from the Demographic and Health Surveys: evaluation, critique and recommendations. Statistical Methods in Medical Research, 29 (3). pp. 811-826.
Adegboye, Oyelola, Saffary, Timor, Adegboye, Majeed, and Elfaki, Faiz (2019) Individual and network characteristic associated with hospital-acquired Middle East Respiratory Syndrome coronavirus. Journal of Infection and Public Health, 12 (3). pp. 343-349.
Adegboye, Oyelola, and Jawid, Asadullah (2016) Multivariate multilevel models for attitudes toward statistics: multi-disciplinary settings in Afghanistan. Journal of Applied Statistics, 43 (1). pp. 244-261.
B
Biggs, J.S., Everingham, Y., Skocaj, D.M., Schroeder, B.L., Sexton, J., and Thorburn, P.J. (2021) The potential for refining nitrogen fertiliser management through accounting for climate impacts: an exploratory study for the Tully region. Marine Pollution Bulletin, 170. 112664.
Brown, Simon (2018) On the distribution of the h-index. International Journal of Information Science and Management, 16 (1). pp. 15-26.
Beg, A.B.M. Rabiul Alam, and Islam, Md. Rafiqul (2016) Modeling and forecasting population growth of Bangladesh. American Journal of Mathematics and Statistics, 6 (4). pp. 190-195.
C
Collins, Brian, Najeeb, Ullah, Luo, Qunying, and Tan, Daniel K.Y. (2022) Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI‐2 algorithm in northeast Australia. Journal of Agronomy and Crop Science, 208 (2). pp. 225-242.
Campos, Guilherme O., Zimek, Arthur, Sander, Jörg, Campello, Ricardo, Micenková, Barbora, Schubert, Erich, Assent, Ira, and Houle, Michael E. (2016) On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery, 30 (4). pp. 891-927.
D
Dias, Henrique Boriolo, Inman-Bamber, Geoff, Everingham, Yvette, Sentelhas, Paulo Cesar, Bermejo, Rodrigo, and Christodoulou, Diomedes (2020) Traits for canopy development and light interception by twenty-seven Brazilian sugarcane varieties. Field Crops Research, 249. 107716.
Das, Sourav, Subba Rao, Tata, and Boshnakov, Georgi N. (2020) An asymptotically unbiased weighted least squares estimation criterion for parametric variograms of second order stationary geostatistical processes. Communications in Statistics: simulation and computation, 49 (7). pp. 1839-1854.
Das, Sourav, and Tordesillas, Antoinette (2019) Near real-time characterization of spatio-temporal precursory evolution of a rockslide from radar data: integrating statistical and machine learning with dynamics of granular failure. Remote Sensing, 11 (23). 2777.
Dias, Henrique Boriolo, Inman-Bamber, Geoff, Bermejo, Rodrigo, Sentelhas, Paulo Cesar, and Christodoulou, Diomedes (2019) New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments. Field Crops Research, 235. pp. 38-53.
E
Emeto, Theophilus I., Adegboye, Oyelola A., Rumi, Reza A., Khan, Mahboob-Ul I., Adegboye, Majeed, Khan, Wasif A., Rahman, Mahmudur, Streatfield, Peter K., and Rahman, Kazi M. (2020) Disparities in risks of malaria associated with climatic variability among women, children and elderly in the Chittagong hill tracts of Bangladesh. International Journal of Environmental Research and Public Health, 17 (24). 9469.
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GBD 2019 Antimicrobial Resistance Collaborators (2022) Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 400 (10369). pp. 2221-2248.
Gayawan, Ezra, Adekunle, Adeshina, Pak, Anton, and Adegboye, Oyelola (2022) Statistical Approaches to Infectious Diseases Modelling in Developing Countries: A Case of COVID-19. In: Awe, O. Olawale, Love, Kim, and Vance, Eric A., (eds.) Promoting Statistical Practice and Collaboration in Developing Countries. CRC Press, Abingdon, England, pp. 557-581.
Gertrudes, Jadson Castro, Sander, Jörg, Zimek, Arthur, and Campello, Ricardo J.G.B. (2018) A unified framework of density-based clustering for semi-supervised classification. In: Proceedings of the 30th International Conference on Scientific and Statistical Database Management. 11. From: SSDBM 2018: 30th International Conference on Scientific and Statistical Database Management, 9-11 July 2018, Bozen-Bolzano, Italy.
Gladish, Daniel W., Kuhnert, Petra M., Pagendam, Daniel E., Wikle, Christopher K., Bartley, Rebecca, Searle, Ross D., Ellis, Robin J., Dougall, Cameron, Turner, Ryan D.R., Lewis, Stephen E., Bainbridge, Zoe T., and Brodie, Jon E. (2016) Spatio-temporal assimilation of modelled catchment loads with monitoring data in the Great Barrier Reef. Annals of Applied Statistics, 10 (3). pp. 1590-1618.
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Hanna, Fahad, Daas, Rua N., El-Shareif, Tasneem J., Al-Marridi, Haneen H., Al-Rojoub, Zaina M., and Adegboye, Oyelola A. (2019) The relationship between sedentary behavior, back pain, and psychosocial correlates among university employees. Frontiers in Public Health, 7. 80.
J
Jaskowiak, Pablo A., Costa, Ivan G., and Campello, Ricardo J.G.B. (2018) Clustering of RNA-Seq samples: comparison study on cancer data. Methods, 132. pp. 42-49.
K
Kareem, Yusuf Olushola, Dorgbetor, Cyprian Issahaku, Ameyaw, Edward Kwabena, Abubakar, Zubaida, Adelekan, Babatunde, Goldson, Erika, Mueller, Ulla, and Adegboye, Oyelola (2023) Assessment and associated factors of comprehensive HIV knowledge in an at-risk population: a cross-sectional study from 19,286 young persons in Nigeria. Therapeutic Advances in Infectious Disease, 10. 20499361231163664.
L
Lynam, Timothy (2016) Exploring social representations of adapting to climate change using topic modeling and Bayesian networks. Ecology and Society, 21 (4). p. 16.
M
Mclean, Nina, Kruuk, Loeske E.B., Van Der Jeugd, Henk P., Leech, David, van Turnhout, Chris A.M., and van de Pol, Martijn (2022) Warming temperatures drive at least half of the magnitude of long-term trait changes in European birds. Proceedings of the National Academy of Sciences of the United States of America, 119 (10). e2105416119.
O
Okunlola, David Aduragbemi, Alawode, Oluwatobi Abe, Awoleye, Abayomi Folorunso, and Adegboye, Oyelola (2022) Exploring the Hierarchies: Multilevel Correlates of Child Mortality in Nigeria and Implications for Interventions. Global Social Welfare, 9. pp. 131-139.
P
Pak, A., Eisen, D.P., McBryde, E.S., and Adegboye, O.A. (2021) Hospitalisation for lower respiratory tract infection is associated with an increased incidence of acute myocardial infarction and stroke in tropical Northern Australia. Scientific Reports, 11. 6862.
Pak, Anton, Adegboye, Oyelola A., Eisen, Damon P., and McBryde, Emma S. (2021) Hospitalisations related to lower respiratory tract infections in Northern Queensland. Australian and New Zealand Journal of Public Health, 45 (5). pp. 430-436.
Padilha, Victor A., and Campello, Ricardo (2017) A systematic comparative evaluation of biclustering techniques. BMC Bioinformatics, 18:55. pp. 1-25.
S
Sharp, C., Schepen, A., Das, S., and Everingham, Y. (2021) Geostatistical merging of weather radar data with a sparse rain gauge network in Queensland. In: Proceedings of the 24th International Congress on Modelling and Simulation. pp. 644-650. From: MODSIM 2021: 24th International Congress on Modelling and Simulation, 5-10 December 2021, Sydney, NSW, Australia.
Saffary, T., Adegboye, Oyelola, Gayawan, E., Elfaki, F., Kuddus, Md Abdul, and Saffary, R. (2020) Analysis of COVID-19 cases' spatial dependence in US counties reveals health inequalities. Frontiers in Public Health, 8. 579190.
Sexton, Justin, Everingham, Yvette, Donald, David, Staunton, Steve, and White, Ronald (2020) Investigating the identification of atypical sugarcane using NIR analysis of online mill data. Computers and Electronics in Agriculture, 168. 105111.
Schepen, Andrew, Everingham, Yvette, and Wang, Quan (2020) On the joint calibration of multivariate seasonal climate forecasts from GCMs. Monthly Weather Review, 148 (1). pp. 437-456.
Schepen, Andrew, Everingham, Yvette, and Wang, Quan (2020) An improved workflow for calibration and downscaling of GCM climate forecasts for agricultural applications – a case study on prediction of sugarcane yield in Australia. Agricultural and Forest Meteorology, 291. 107991.
Simcock, David C., Chua, Wei-Hang, Hekman, Margreet, Levin, Matthew T., and Brown, Simon (2019) Distinguishing a 'hit' from a 'view': using the access durations of lecture recordings to tell whether learning might have happened. Knowledge Management & E-learning: An International Journal, 11 (1). pp. 81-94.
Stringer, J.K., Skocaj, D.M., Rigby, A., Olayemi, M., Everingham, Y.L., and Sexton, J. (2019) Productivity performance of climatological sub-regions within the Tully mill area. In: Proceedings of the 41st Annual Conference of the Australian Society of Sugar Cane Technologists. pp. 156-163. From: ASSCT 2019: 41st Annual Conference of the Australian Society of Sugar Cane Technologists, 30 April - 3 May 2019, Toowoomba, QLD, Australia.
Sexton, Justin, Everingham, Yvette, Donald, David, Staunton, Steve, and White, Ronald (2018) A comparison of non-linear regression methods for improved on-line near infrared spectroscopic analysis of a sugarcane quality measure. Journal of Near Infrared Spectroscopy, 26 (5). pp. 297-310.
Sexton, J., Everingham, Y., Donald, D., Staunton, S., and White, R. (2018) A feasibility test for detection of atypical cane samples using near infrared spectroscopy. In: Proceedings of the 40th Annual Conference of the Australian Society of Sugar Cane Technologists. pp. 382-390. From: ASSCT 2018: 40th Annual Conference of the Australian Society of Sugar Cane Technologists, 17-20 April 2018, Mackay, QLD, Australia.
Sexton, J., Everingham, Y., Skocaj, D., Biggs, J., Thorburn, P., and Schroeder, B. (2017) Identification of climatological sub-regions within the Tully mill area. In: Proceedings of the 39th Annual Conference of the Australian Society of Sugar Cane Technologists (39) pp. 342-350. From: ASSCT 2017: 39th Annual Conference of the Australian Society of Sugar Cane Technologists, 3-5 May 2017, Cairns, QLD, Australia.
Sexton, J., Everingham, Y., and Donald, D. (2017) A comparison of data mining algorithms for improving NIR models of cane quality measures. In: Proceedings of the 39th Annual Conference of the Australian Society of Sugar Cane Technologists (39) pp. 557-567. From: ASSCT 2017: 39th Annual Conference of the Australian Society of Sugar Cane Technologists, 3-5 May 2017, Cairns, QLD, Australia.
Sexton, J., Everingham, Y.L., and Inman-Bamber, G. (2017) A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland, Australia. European Journal of Agronomy, 88. pp. 96-105.
Schepen, Andrew, Wang , Q.J., and Everingham, Yvette (2016) Calibration, bridging and merging to improve GCM seasonal temperature forecasts in Australia. Monthly Weather Review, 144. pp. 2421-2441.
Swersky, Lorne , Marques, Henrique O., Sander, Jörg, Campello, Ricardo J.G.B., and Zimek, Arthur (2016) On the evaluation of outlier detection and one-class classification methods. In: Proceedings of the 3rd IEEE International Conference on Data Science and Advanced Analytics. pp. 1-10. From: DSAA 2016: 3rd IEEE International Conference on Data Science, 17-19 October 2016, Montréal, Canada.
Sexton, J., Everingham, Y., and Inman-Bamber, G. (2016) A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model. Environmental Modelling & Software, 83. pp. 126-142.
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Trinh, Kelly, Staib, Andrew, and Pak, Anton (2023) Forecasting emergency department waiting time using a state space representation. Statistics in Medicine, 42. pp. 4458-4483.
Thorburn, P.J., Biggs, J.S., Skocaj, D., Schroeder, B.L., Sexton, J., and Everingham, Y. (2018) Crop size and sugarcane nitrogen fertiliser requirements: Is there a link? In: Proceedings of the 40th Annual Conference of the Australian Society of Sugar Cane Technologists (40) pp. 210-218. From: ASSCT 2018: 40th Annual Conference of the Australian Society of Sugar Cane Technologists, 17-20 April 2018, Mackay, QLD, Australia.
V
Van Der Kolk, Henk-Jan, Ens, Bruno J., Oosterbeek, Kees, Jongejans, Eelke, and van de Pol, Martijn (2022) The hidden cost of disturbance: Eurasian Oystercatchers (Haematopus ostralegus) avoid a disturbed roost site during the tourist season. Ibis, 164 (2). pp. 437-450.
W
Wong, Alex C.H., Wong, Justin J.-L., Rasko, John E.J., and Schmitz, Ulf (2023) SpliceWiz: Interactive analysis and visualization of alternative splicing in R. Briefings in Bioinformatics, 25 (1).
Wang, E., Attard, S., Linton, A., McGlinchey, M., Xiang, W., Philippa, B., and Everingham, Y. (2020) Development of a closed-loop irrigation system for sugarcane farms using the Internet of Things. Computers and Electronics in Agriculture, 172. 105376.
Wu, Paul Pao-Yen, Mengersen, Kerrie, Caley, M. Julian, McMahon, Kathryn, Rasheed, Michael A., and Kendrick, Gary A. (2019) Analysing the dynamics and relative influence of variables affecting ecosystem responses using functional PCA and boosted regression trees: a seagrass case study. Methods in Ecology and Evolution, 10 (10). pp. 1723-1733.
Y
Yousif, Yosra, Elfaki, Faiz, Hrairi, Meftah, and Adegboye, Oyelola (2022) Bayesian Analysis of Masked Competing Risks Data Based on Proportional Subdistribution Hazards Model. Mathematics, 10 (17). 3045.
Yousif, Yosra, Elfaki, Faiz A.M., Hrairi, Meftah, and Adegboye, Oyelola A. (2020) A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times. Mathematical Problems in Engineering, 2020. 8248640.