Engineering and Information Sciences

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Rougier, J. & Zammit-Mangion, A. (2016). Visualisation for large-scale Gaussian updates. Scandinavian Journal of Statistics: theory and applications, 43 (4), 1153-1161.
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Mahmud, Z. & Porter, A. (2015). Using Rasch analysis to explore what students learn about probability concept. Indonesian Mathematical Society Journal on Mathematics Education, 6 (1), 1-11. Indonesia International Seminar on Education FKIP

Lago, L. Patricia. & Clark, R. Graham. (2015). Imputation of household survey data using linear mixed models. Australian and New Zealand Journal of Statistics, 57 (2), 169-187.
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Liu, S., Constable, G. A., Cullis, B. R., Stiller, W. N. & Reid, P. E. (2015). Benefit of spatial analysis for furrow irrigated cotton breeding trials. Euphytica, 201 (2), 253-264.
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Smith, A. B., Butler, D. G., Cavanagh, C. R. & Cullis, B. R. (2015). Multi-phase variety trials using both composite and individual replicate samples: a model-based design approach. Journal of Agricultural Science, 153 1017-1029.
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Smith, A., Ganesalingam, A., Kuchel, H. & Cullis, B. R. (2015). Factor analytic mixed models for the provision of grower information from national crop variety testing programs. Theoretical and Applied Genetics: international journal of plant breeding research, 128 (1), 55-72.
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Byrne, M. K., Parletta, N., Webster, D. G., Batterham, M. & Meyer, B. J. (2015). Adult attention deficit disorder and aggressive behaviour: an exploration of relationships between Brown Attention-Deficit Disorder Scales and the Aggression Questionnaire. Psychiatry Psychology and Law, 22 (3), 407-416.
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Bradley, J. R., Cressie, N. & Shi, T. (2015). Rejoinder on: Comparing and selecting spatial predictors using local criteria. Test, 24 (1), 54-60.
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Bradley, J., Cressie, N. A. & Shi, T. (2015). Comparing and selecting spatial predictors using local criteria. Test, 24 (1), 1-28.
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Janssen, X., Cliff, D., Reilly, J., Hinkley, T., Jones, R., Batterham, M., Ekelund, U., Brage, S. & Okely, T. (2015). Evaluation of Actical equations and thresholds to predict physical activity intensity in young children. Journal of Sports Sciences, 33 (5), 498-506.
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