RT Journal Article
T1 The generalized entropy measure to the design and comparison of regression experiment in a Bayesian context
A1 Pardo Llorente, Julio Ángel
A1 Pardo Llorente, Leandro
A1 Menéndez Calleja, María Luisa
A1 Taneja, I.J.
AB 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.
PB Elsevier  Science Inc
SN 0020-0255
YR 1993
FD 1993-09
LK https://hdl.handle.net/20.500.14352/57839
UL https://hdl.handle.net/20.500.14352/57839
DS Docta Complutense
RD 11 abr 2025