TY  - JOUR
AB  - Purpose– Proposes a test of goodness‐of‐fit with composite null hypotheses and weights in the classes based on weighted (h,φ)‐divergences.Design/methodology/approach– The weighted (h,φ)‐divergence between an empirical distribution and the probability of the estimated model is here investigated for large simple random samples.Findings– The unknown parameters of the model are estimated using minimum (h,φ)‐divergences estimators with weights as studied in previous works by the authors.Originality/value– Research makes an important contribution to (h,φ)‐divergences and their applications in statistical and other areas.
VL  - 35
IS  - 5
SN  - 0368-492X
DO  - 10.1108/03684920610662467
UR  - https://doi.org/10.1108/03684920610662467
AU  - Landaburu E.
AU  - Pardo L.
PY  - 2006
Y1  - 2006/01/01
TI  - Weighted (h,φ)‐divergences in goodness‐of‐fit with composite null hypotheses
T2  - Kybernetes
PB  - Emerald Group Publishing Limited
SP  - 713
EP  - 725
Y2  - 2024/05/07
ER  -