RT Journal Article
T1 Minimum phi-divergence estimators with constraints in multinomial populations
A1 Pardo Llorente, Julio Ángel
A1 Pardo Llorente, Leandro
A1 Zografos, Konstantinos
AB This paper presents a minimum phi-divergence estimation procedure in multinomial models in which the probabilities depend on unknown parameters that are not mathematically independent but satisfy some functional relationships, This estimator is then used in a phi-divergence statistic for solving the problem of goodness-of-fit when the unknown parameters in the probabilities are not mathematically independent. The asymptotic distribution of this family of statistics is obtained under the null and contiguous alternative hypotheses, The asymptotic distribution of residuals. when the parameters are estimated using the minimum phi-divergence estimator. is also obtained.
PB Elsevier Science
SN 0378-3758
YR 2002
FD 2002
LK https://hdl.handle.net/20.500.14352/57775
UL https://hdl.handle.net/20.500.14352/57775
LA eng
DS Docta Complutense
RD 8 abr 2025