Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data

Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data

Semiparametric modeling is a hybrid of the parametric and nonparametric modelings where some function forms are known and others are unknown. In this dissertation, we have made several contributions to semiparametric modeling based on the single index model related to the following three topics: the...

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Bibliographic Details
Main Author: Mahmoud, Hamdy F. F.
Other Authors: Statistics
Format: Others
Published: Virginia Tech 2017
Subjects:
Change Point
Generalized Linear Model
Generalized Additive Model
Markov Chain Expectation Maximization
Mixed model
Permutation Test
Semiparametric regression
Single Index model
Spatially correlated data
Spatio-temporal data.
Online Access:http://hdl.handle.net/10919/76744

Internet

http://hdl.handle.net/10919/76744

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