Publication:
The generalized entropy measure to the design and comparison of regression experiment in a Bayesian context

No Thumbnail Available
Full text at PDC
Publication Date
1993-09
Authors
Menéndez Calleja, María Luisa
Taneja, I.J.
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Inc
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
Taneja [14] studied a unified (r, s)-entropy that includes as a particular case some of the known entropies. Based on this unified (r, s)-entropy, Pardo et al. [8] defined the average amount of information provided by an experiment X over the unknown parameter θ with prior knowledge p(θ). By using average amount of information in unified form, we compare experiments based on the Bayesian approach. Some connections with the criterion of Blackwell and Lehmann are also made. In this paper, an application of generalized entropy measures to the design and comparison of linear regression experiment is presented.
Description
Unesco subjects
Keywords
Citation
Collections