caa a22 4500 475793056 CHVBK 20180406123715.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1007/s001840050043 doi (NATIONALLICENCE)springer-10.1007/s001840050043 Aaberge Rolf Research Department, Statistics Norway, P.O.Box 8131 Dep., N-0033 Oslo, Norway (e-mail: rolf.aaberge@ssb.no), NO aut UMP unbiased tests for multiparameter testing problems with restricted alternatives [Elektronische Daten] [Rolf Aaberge] Abstract.: Applications of the standard theory of UMP unbiased tests depends on conditions which in general are difficult to verify. In the present paper, however, we suggest more simple rules for applying this theory for regular exponential families of distributions. This approach leads to UMP unbiased tests for various multiparameter testing problems with restricted alternatives, and is shown to give justification for conditional tests for testing symmetry, diagonals-parameter symmetry and independence in two-way contingency tables. The derived tests are shown to possess attractive small sample properties. Springer-Verlag Berlin Heidelberg, 2000 Key words: Exponential families of distributions nationallicence UMP unbiased tests nationallicence exact conditional tests nationallicence independence and symmetry in contingency tables nationallicence https://doi.org/10.1007/s001840050043 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001840050043 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Aaberge Rolf Research Department, Statistics Norway, P.O.Box 8131 Dep., N-0033 Oslo, Norway (e-mail: rolf.aaberge@ssb.no), NO aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer