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Description du livre Hardcover. Etat : new. N° de réf. du vendeur 9783540628576
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar3113020172765
Description du livre Etat : New. N° de réf. du vendeur 4979099-n
Description du livre Etat : New. N° de réf. du vendeur 4896110
Description du livre Etat : New. N° de réf. du vendeur 4979099-n
Description du livre Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many relationships in economics, and also in other fields, are both dynamic and nonlinear. A major advance in econometrics over the last fifteen years has been the development of a theory of estimation and inference for dy namic nonlinear models. This advance was accompanied by improvements in computer technology that facilitate the practical implementation of such estimation methods. In two articles in Econometric Reviews, i.e., Pötscher and Prucha {1991a,b), we provided -an expository discussion of the basic structure of the asymptotic theory of M-estimators in dynamic nonlinear models and a review of the literature up to the beginning of this decade. Among others, the class of M-estimators contains least mean distance estimators (includ ing maximum likelihood estimators) and generalized method of moment estimators. The present book expands and revises the discussion in those articles. It is geared towards the professional econometrician or statistician. Besides reviewing the literature we also presented in the above men tioned articles a number of then new results. One example is a consis tency result for the case where the identifiable uniqueness condition fails. 328 pp. Englisch. N° de réf. du vendeur 9783540628576
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9783540628576_lsuk
Description du livre Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Many relationships in economics, and also in other fields, are both dynamic and nonlinear. A major advance in econometrics over the last fifteen years has been the development of a theory of estimation and inference for dy namic nonlinear models. This advance was accompanied by improvements in computer technology that facilitate the practical implementation of such estimation methods. In two articles in Econometric Reviews, i.e., Pötscher and Prucha {1991a,b), we provided -an expository discussion of the basic structure of the asymptotic theory of M-estimators in dynamic nonlinear models and a review of the literature up to the beginning of this decade. Among others, the class of M-estimators contains least mean distance estimators (includ ing maximum likelihood estimators) and generalized method of moment estimators. The present book expands and revises the discussion in those articles. It is geared towards the professional econometrician or statistician. Besides reviewing the literature we also presented in the above men tioned articles a number of then new results. One example is a consis tency result for the case where the identifiable uniqueness condition fails. N° de réf. du vendeur 9783540628576
Description du livre Etat : New. New. In shrink wrap. Looks like an interesting title! 1.3. N° de réf. du vendeur Q-3540628576
Description du livre Etat : New. New. In shrink wrap. Looks like an interesting title! 1.3. N° de réf. du vendeur SL-3540628576