caa a22 4500 475826760 CHVBK 20180406123830.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1023/A:1017577310595 doi (NATIONALLICENCE)springer-10.1023/A:1017577310595 Xiao Yushan Graduate School of Science and Technology, Kumamoto University, 860-8555, Kumamoto, Japan aut Linex Unbiasedness in a Prediction Problem [Elektronische Daten] [Yushan Xiao] A statistical prediction problem under LINEX loss function is considered. Some results about LINEX-unbiased predictor are derived and the best LINEX-unbiased predictor is given. We also show that the best risk-unbiased predictor is equal to the best equivariant predictor in the location family. The Institute of Statistical Mathematics, 2000 Prediction problem nationallicence risk unbiasedness nationallicence LINEX loss function nationallicence adequate statistic nationallicence Rao-Blackwell theorem nationallicence location family nationallicence equivariant predictor nationallicence Annals of the Institute of Statistical Mathematics Kluwer Academic Publishers 52/4(2000-12-01), 712-721 0020-3157 52:4<712 2000 52 10463 https://doi.org/10.1023/A:1017577310595 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1017577310595 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Xiao Yushan Graduate School of Science and Technology, Kumamoto University, 860-8555, Kumamoto, Japan aut NATIONALLICENCE 773 0- Annals of the Institute of Statistical Mathematics Kluwer Academic Publishers 52/4(2000-12-01), 712-721 0020-3157 52:4<712 2000 52 10463 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer