RT Journal Article
T1 Hypothesis testing for two discrete populations based on the Hellinger distance
A1 Basu, Ayanendranath
A1 Mandal, Abhijit
A1 Pardo Llorente, Leandro
AB Our interest is in the problem where independent samples are drawn from two different discrete populations, possibly with a common parameter. The goal is to test hypothesis about the parameters involved in these two samples. A number of tests are developed for the above purpose based on the Hellinger distance and penalized versions of it. The asymptotic distributions of the test statistics are derived. Extensive simulation results are provided, which illustrate the theory developed and the robustness of the methods.
PB Elsevier Science Bv.
SN 0167-7152
YR 2010
FD 2010-02-01
LK https://hdl.handle.net/20.500.14352/42425
UL https://hdl.handle.net/20.500.14352/42425
LA eng
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RD 7 may 2024