Martín Apaolaza, NíriamPardo Llorente, Leandro2023-06-202023-06-202008-010932-502610.1007/s00362-006-0370-3https://hdl.handle.net/20.500.14352/50268In this paper the family of phi-divergence estimators for loglinear models with linear constraints and multinomial sampling is studied. This family is an extension of the maximum likelihood estimator studied by Haber and Brown (1986). A simulation study is presented and some alternative estimators to the maximum likelihood are obtained.engjournal articlehttp://www.springerlink.com/content/f315q18422041r4u/fulltext.pdfhttp://link.springer.com/journal/362restricted access330.115519, .52loglinear modelsmultinomial samplingmaximum likelihood estimatorminimum phi-divergence estimatorexpected frequenciesmaximum-likelihoodchi-squaresubject.Estadística aplicadaMuestreo (Estadística)1209.10 Teoría y Técnicas de Muestreo