Description
Spatial regression is one of the central topics in spatial statistics. Based on the goals, interpretation or prediction, spatial regression models can be classified into two categories, linear mixed regression models and nonlinear regression models. This dissertation explored these models and their real world applications.
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Contributors
- Lu, Xuetao (Author)
- McCulloch, Robert (Thesis advisor)
- Hahn, Paul (Committee member)
- Lan, Shiwei (Committee member)
- Zhou, Shuang (Committee member)
- Saul, Steven (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2020
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Note
- Doctoral Dissertation Statistics 2020