Asymptotic inference for spatial CDFS over time

Statistica Sinica

Volumn 12, Issue 3, 2002, Pages 843-861

  Zhu, Jun ^a   Lahiri, S N ^a   Cressie, Noel ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

Environmental resource assessment and monitoring; Functional central limit theorem; Spatial cumulative distribution function; Spatial prediction; Spatial subsampling; Spatio temporal process

Indexed keywords

EID: 0036660737     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Billingsley, P. (1968). Convergence of Probability Measures. Wiley, New York.
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3. Cressie, N. (1993). Statistics for Spatial Data, Revised Edition. Wiley, New York.
4. Doukhan, P. (1994). Mixing: Properties and Examples. Springer, New York.
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6. Lahiri, S.N. (1998). Central limit theorems for weighted sums under some spatial sampling schemes. Preprint, Department of Statistics, Iowa State University.
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9. Majure, J.J., Cook, D. and Cressie, N., Kaiser, M.S., Lahiri, S.N. and Symanzik, J. (1995). Spatial CDF estimation and visualization with applications to forest health monitoring. Comput. Sci. Statist. 27, 93-101.
10. Pollard, D. (1984). Convergence of Stochastic Processes. Springer, New York.
11. Zhu, J, Lahiri, S.N. and Cressie, N. (2000). Asymptotic inference for spatial CDFs over time. Technical Report 666, Department of Statistics, The Ohio State University.