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Analysis of Divergence in Loglinear Models When Expected Frequencies are Subject to Linear Constraints

Pardo, L.; Menéndez, M. - In: Metrika 64 (2006) 1, pp. 63-76

Persistent link: https://www.econbiz.de/10005375725

Csiszar’s ϕ-divergences for testing the order in a Markov chain

Menéndez, M.; Pardo, J.; Pardo, L. - In: Statistical Papers 42 (2001) 3, pp. 313-328

Persistent link: https://www.econbiz.de/10005391196

Maximum entropy principle and statistical inference on condensed ordered data

Menéndez, M.; Morales, D.; Pardo, L. - In: Statistics & Probability Letters 34 (1997) 1, pp. 85-93

Using sample quantiles, a point estimation procedure based on the maximum entropy principle is proposed. Under standard regularity conditions it is shown that these estimators are efficient and asymptotically normal. A goodness-of-fit test statistic is also given and its asymptotic chi-square...

Persistent link: https://www.econbiz.de/10005074677

Preliminary phi-divergence test estimators for linear restrictions in a logistic regression model

Menéndez, M.; Pardo, L.; Pardo, M. - In: Statistical Papers 50 (2009) 2, pp. 277-300

Persistent link: https://www.econbiz.de/10005615797

Minimum Divergence Estimators Based on Grouped Data

Menéndez, M.; Morales, D.; Pardo, L.; Vajda, I. - In: Annals of the Institute of Statistical Mathematics 53 (2001) 2, pp. 277-288

Persistent link: https://www.econbiz.de/10005616145

Theϕ-divergence statistic in bivariate multinomial populations including stratification

Pardo, L.; Morales, D.; Salicrú, M.; Menéndez, M. - In: Metrika 40 (1993) 1, pp. 223-235

Persistent link: https://www.econbiz.de/10005156001