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- 17Mesoamerica
- 9Materials/samples
- 9Raw material sample
- 8Ceramics
- 4Generalized linear mixed model
- 17University of Alberta Department of Anthropology
- 9Bryan, Alan L., Dr.
- 9Gruhn, Dr. Ruth
- 8Mitchell, A. H.
- 2Rosychuk, Rhonda J.
- 2Torabi, Mahmoud
- 17Anthropology, Department of
- 17Anthropology, Department of/Bryan/Gruhn Archaeology Collection
- 4Graduate and Postdoctoral Studies (GPS), Faculty of
- 4Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 2Biological Sciences, Department of
- 2Biological Sciences, Department of/Journal Articles (Biological Sciences)
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Fall 2011
Timely, accurate predictions of potential influenza epidemics are essential for healthcare providers and policy makers as the epidemics can result in heavy demands for health services. Current statistical modeling of surveillance data has limited prediction abilities and often fails to respond...
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Fall 2012
This thesis is an anthropological study of the interactions between the coffee industry and the tourism industry in Costa Rica. It focuses on how coffee production, marketing and consumption have been affected by the presence of tourists and how tourists come in contact with coffee. I conducted...
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Predicting local and nonlocal effects of resources on animal space use using a mechanistic step-selection function.
Download2013
Schaefer, J., Bastille-Rousseau, G., Murray, D., Lewis, M.A., Potts, J.R.
Predicting space use patterns of animals from their interactions with the environment is fundamental for understanding the effect of habitat changes on ecosystem functioning. Recent attempts to address this problem have sought to unify resource selection analysis, where animal space use is...
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Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends
Download2011
Torabi, Mahmoud, Rosychuk, Rhonda J.
To analyze childhood cancer diagnoses in the province of Alberta, Canada during 1983-2004, we construct a generalized linear mixed model for the analysis of geographic and temporal variability of cancer rates. In this model, spatially correlated random e®ects and temporal components are adopted....