TY  - JOUR
AU  - Basu, A.
AU  - Mandal, A.
AU  - Martín, N.
AU  - Pardo Llorente, Leandro
PY  - 2015
SN  - 0233-1888
UR  - https://hdl.handle.net/20.500.14352/33999
T2  - Statistics: A Journal of Theoretical and Applied Statistics
AB  - In testing of hypothesis, the robustness of the tests is an important concern. Generally, the maximum likelihood-based tests are most efficient under standard regularity conditions, but they are highly non-robust even under small deviations from the...
LA  - eng
PB  - Taylor & Francis Group Ltd
KW  - density power divergence
KW  - robustness
KW  - tests of hypotheses
TI  - Generalized Wald-type tests based on minimum density power divergence estimators
TY  - journal article
ER  -