Authors: | Schach, Ulrike |
Title: | Spatio-Temporal Models on the Basis of Innovation Processes and Application to Cancer Mortality Data |
Language (ISO): | en |
Abstract: | The aim of this paper is to find a modeling approach for spatially and temporally structured data. The spatial distribution is considered to form an irregular lattice with a specified definition of neighborhood. Additional to the spatial component, a temporal autoregressive parameter, and a time trend are modeled within a multivariates Markov process. This Markov process can be expressed on the basis of an innovation process, which allows for statistical inference on various parameters. |
Subject Headings: | conditional autoregressive approach innovation process lattice data ML-estimation spatio-temporal linear model |
URI: | http://hdl.handle.net/2003/5021 http://dx.doi.org/10.17877/DE290R-15113 |
Issue Date: | 2000 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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2000_16.pdf | DNB | 257.23 kB | Adobe PDF | View/Open |
tr16-00.ps | 1.55 MB | Postscript | View/Open |
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