TY  - JOUR
AU  - Calviño Martínez, Aída
AU  - Martín Apaolaza, Nirian
AU  - Pardo Llorente, Leandro
AU  - Brugnano, Luigi
AU  - Efendiev, Yalchin
AU  - Keller, André
PY  - 2021
DO  - 10.1016/j.cam.2020.113214
SN  - 0377-0427
UR  - https://hdl.handle.net/20.500.14352/92189
T2  - Journal of computational and applied mathematics
AB  - In this paper we propose a new family of estimators, Minimum Density Power Divergence Estimators (MDPDE), as a robust generalization of maximum likelihood estimators (MLE) for the loglinear model with multinomial sampling by using the Density Power...
LA  - eng
M2  - 1
KW  - Point estimation
KW  - MLE
KW  - Confidence intervals
KW  - Bootstrap
KW  - Influence function
KW  - Monte Carlo simulation
TI  - Robustness of Minimum Density Power Divergence Estimators and Wald-type test statistics in loglinear models with multinomial sampling
TY  - journal article
VL  - 386
ER  -