Statistical methodologies for quantile-based distributional families
Rayner, Glen (1999) Statistical methodologies for quantile-based distributional families. 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 email@example.com
Impact and interest:
Citation counts are sourced monthly from and 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 theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||QUT Thesis (PhD)|
|Additional Information:||Presented to the School of Mathematical Sciences, Queensland University of Technology.|
|Keywords:||Mathematical statistics, Distribution (Probability theory), Estimation theory, parameter estimation, quantile distribution, quantile function, distribution shape, maximum likelihood estimation (MLE), numerical maximum likelihood estimation, weighted method, g-and-k distribution, generalized g-and-h distribution, Freimer et al. (1988), generalized lambda distribution, thesis, doctoral|
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright Glen Rayner|
|Deposited On:||22 Sep 2010 13:06|
|Last Modified:||25 Aug 2016 01:37|
Repository Staff Only: item control page