caa a22 4500 475793005 CHVBK 20180406123715.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1007/s001840050044 doi (NATIONALLICENCE)springer-10.1007/s001840050044 Bischoff Wolfgang Fakultät für Mathematik, Universität Karlsruhe, D-76128 Karlsruhe, Germany (e-mail: Wolfgang.Bischoff@math.uni-karlsruhe.de), DE aut Asymptotically optimal tests for some growth curve models under non-normal error structure [Elektronische Daten] [Wolfgang Bischoff] Abstract.: This paper considers growth curve models consisting of two stages. In the first stage we have a regression model with random parameter. The second stage is given by a linear model for the mean of the random parameter of the first stage. In the present paper we prove asymptotic optimality of tests for linear functions of the mean of the random parameter under non-normal error. Springer-Verlag Berlin Heidelberg, 2000 Key words: Growth curve models nationallicence asymptotically optimal tests nationallicence non-normal error nationallicence https://doi.org/10.1007/s001840050044 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001840050044 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Bischoff Wolfgang Fakultät für Mathematik, Universität Karlsruhe, D-76128 Karlsruhe, Germany (e-mail: Wolfgang.Bischoff@math.uni-karlsruhe.de), DE aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer