On Parametric and Nonparametric Methods for Dependent Data

On Parametric and Nonparametric Methods for Dependent Data

In recent years, there has been a surge of research interest in the analysis of time series and spatial data. While on one hand more and more sophisticated models are being developed, on the other hand the resulting theory and estimation process has become more and more involved. This dissertation a...

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Bibliographic Details
Main Author: Bandyopadhyay, Soutir
Other Authors: Lahiri, Soumendra N.
Format: Others
Language:en_US
Published: 2011
Subjects:
Bootstrap
Mean squared prediction error
second order bias correction
tilting
Asymptotic independence
Central limit theorem
DFT
Random field
Spatial processes
Spatial design.
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8277

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8277

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