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Journal of the American Statistical Association Volume 99, 2004 - Issue 467
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Primary Article

A Nonparametric Test for Spatial Isotropy Using Subsampling

Yongtao Guan Yongtao Guan is Assistant Professor, Department of Management Science, University of Miami, Coral Gables, FL 33124 . Michael Sherman is Associate Professor and James A. Calvin is Professor and Head , Department of Statistics, Texas A&M University, College Station, TX 77843. The authors thank Hsiao-Chuan Lu and Dale L. Zimmerman for their kindness in sharing with us an early version of their paper, Christopher Wikle for providing the wind-speed data, and Jeff Hart for a helpful discussion. The authors also thank the editor, the associate editor, and two referees for their helpful comments that greatly improved this manuscript in both content and exposition. This project was partially supported by the National Institutes of Environmental Health Science through grant ES09106.
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Michael Sherman Yongtao Guan is Assistant Professor, Department of Management Science, University of Miami, Coral Gables, FL 33124 . Michael Sherman is Associate Professor and James A. Calvin is Professor and Head , Department of Statistics, Texas A&M University, College Station, TX 77843. The authors thank Hsiao-Chuan Lu and Dale L. Zimmerman for their kindness in sharing with us an early version of their paper, Christopher Wikle for providing the wind-speed data, and Jeff Hart for a helpful discussion. The authors also thank the editor, the associate editor, and two referees for their helpful comments that greatly improved this manuscript in both content and exposition. This project was partially supported by the National Institutes of Environmental Health Science through grant ES09106.
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James A Calvin Yongtao Guan is Assistant Professor, Department of Management Science, University of Miami, Coral Gables, FL 33124 . Michael Sherman is Associate Professor and James A. Calvin is Professor and Head , Department of Statistics, Texas A&M University, College Station, TX 77843. The authors thank Hsiao-Chuan Lu and Dale L. Zimmerman for their kindness in sharing with us an early version of their paper, Christopher Wikle for providing the wind-speed data, and Jeff Hart for a helpful discussion. The authors also thank the editor, the associate editor, and two referees for their helpful comments that greatly improved this manuscript in both content and exposition. This project was partially supported by the National Institutes of Environmental Health Science through grant ES09106.
Pages 810-821 | Published online: 01 Jan 2012

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Haozhe Zhang & Yehua Li. (2022) Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency. Journal of Business & Economic Statistics 40:4, pages 1523-1537.
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