Statistical modelling for non-Gaussian time series data with explanatory variables

Hay, John Leslie (1999) Statistical modelling for non-Gaussian time series data with explanatory variables. PhD thesis, Queensland University of Technology.

Available via Document Delivery only – contact your library to place a request
If you are the author of this thesis, please contact

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 36979
Item Type: QUT Thesis (PhD)
Additional Information: Presented to the School of Mathematical Sciences, Queensland University of Technology.
Keywords: Mathematical statistics, Time-series analysis Mathematical models, added variable plot, Bayesian, convergence, hierarchical, generalized linear mixed models, Markov chain Monte Carlo, observation driven model, parameter driven model, prediction, thesis, doctoral
Institution: Queensland University of Technology
Copyright Owner: Copyright John Leslie Hay
Deposited On: 22 Sep 2010 13:06
Last Modified: 25 Aug 2016 00:03

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page