Publications

Preprints

Loy, A., Hofmann, H., and Cook, D. Better Diagnostics for Linear Mixed-Effects Models Using Visual Inference.
Download: preprint

Maurer, K., Osthus, D., and Loy, A. A Tale of Four Cities: Exploring the Soul of State College, Detroit, Milledgeville, and Biloxi.
Download: preprint code

Journal Articles

Loy, A., Follett, L., and Hofmann, H. (2016). Variations of Q-Q Plots – the Power of our Eyes! The American Statistician, 70(2): 202-214.
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Loy, A., Hofmann, H. (2015). Are you Normal? The problem of confounded residual structures in hierarchical linear models. Journal of Computational and Graphical Statistics, 24(4): 1191-1209.
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Wright Morton, L., Hobbs, J., Arbuckle Jr, J. G., and Loy, A. (2015). Upper Midwest Climate Variations: Farmer Responses Excess Water Risks. Journal of Environmental Quality, 44(3): 810–822.
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Arbuckle Jr, J. G., Hobbs, J., Loy, A., Wright Morton, L., Prokopy, L. S., and Tyndall, J. (2014). Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation. Journal of Soil and Water Conservation, 69(6): 505–516.
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Loy, A. and Hofmann, H. (2014) HLMdiag: A suite of diagnostics for hierarchical linear models in R. Journal of Statistical Software, 56(5): 1–28.
Download: from publisher github repo

Arbuckle Jr, J. G., Prokopy, L., Haigh, T., Hobbs, J., Knoot, T., Knutson, C., Loy, A., Mase, A. S., McGuire, J., Wright Morton, L., Tyndall, J., and Widhalm, M. (2013). Climate change beliefs, risk perceptions, and attitudes toward adaptation and mitigation among farmers in the midwestern United States. Climatic Change, 117(4): 943–950.
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Loy, A. and Hofmann, H. (2013). Diagnostic tools for hierarchical linear models. Wiley Interdisciplinary Reviews: Computational Statistics, 5(1): 48–61.
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Hofmann, H., Cook, D., Kielion, C., Schloerke, B., Hobbs, J., Loy, A., Mosley, L., Rockoff, D., Huang, Y., Wrolstad, D. and Yin, T. (2011). Delayed, canceled, on time, boarding… Flying in the USA. Journal of Computational and Graphical Statistics, 20(2): 287–290.
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Loy, A. (2015). Embracing Data Science. The UMAP Journal 36(4): 285–292.
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Church, S., Haigh, T., Widhalm, M., Prokopy, L. S., Arbuckle, Jr., J. G., Hobbs, J., Knoot, T., Knutson, C., Loy, A., Mase, A. S., McGuire, J., Wright Morton, L., and Tyndall, J. (2015). Farmer Perspectives on Agricultural Practices, Information, and Weather Variability in the Corn Belt: A Statistical Atlas, Volume 2. Tech. rep. CSCAP 0184-2015. West Lafayette, Indiana: Purdue University Research Repository.
Download: Purdue repo

Loy, A., Hobbs, J., Arbuckle, Jr., J. G., Wright Morton, L., Prokopy, L. S., Haigh, T., Knoot, T., Knutson, C., Mase, A. S., McGuire, J., Tyndall, J., and Widhalm, M. (2013). Farmer Perspectives on Agriculture and Weather Variability in the Corn Belt: A Statistical Atlas. Tech. rep. CSCAP 0153-2013. Ames, Iowa: Cropping Systems Coordinated Agricultural Project (CAP): Climate Change, Mitigation and Adaptation in Corn-based Cropping Systems.
Download: sustainablecorn.org

Loy, A. and Hofmann, H. (2009). Visual monitoring of data streams. In JSM Proceedings, Section on Statistical Graphics, Washington, D.C., American Statistical Association.