Pardo Llorente, Julio ÁngelPardo Llorente, LeandroMenéndez Calleja, María LuisaTaneja, I.J.2023-06-202023-06-201993-090020-025510.1016/0020-0255(93)90015-Ehttps://hdl.handle.net/20.500.14352/57839Taneja [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.journal articlehttp://www.sciencedirect.com/science/article/pii/002002559390015Ehttp://www.sciencedirect.commetadata only access519.22unified (rs)-entropyBlackwell-Lehmann criterionaverage amount of informationgeneralized entropy measurescomparison of linear regression experimentsEstadística matemática (Matemáticas)1209 Estadística