Topics in Advanced Econometrics. Probability foundations.
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Von Händler/Antiquariat, Bookbyte Textbooks.
For sometime now, I felt that the evolution of the literature of econo­ metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear structural econometric model (GLSEM). The problems one encounters in nonlinear econometrics are not easily amenable to treatment by the analytical methods one typically acquires, when one learns about probability and inference through the use of den­ sity functions. Even in standard traditional topics, one is often compelled to resort to heuristics; for example, it is difficult to prove central limit theorems for nonidentically distributed or martingale sequences, solely by the use of characteristic functions. Yet such proofs are essential, even in only moderately sophisticated classroom exposition. Unfortunately, relatively few students enter a graduate economics de­ partment ready to tackle probability theory in measure theoretic terms. The present volume has grown out of the need to lay the foundation for such discussions. The motivating forces were, chiefly, (a) the frustration one encounters in attempting to communicate certain concepts to stu­ dents wholly in analytic terms; and (b) the unwillingness of the typical student to sit through several courses in mathematics departments, in order to acquire the requisite background. Hardcover, Ausgabe: 1989, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 1989-12-06, Studio: Springer, Verkaufsrang: 3218634.

Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Wisepenny.
For sometime now, I felt that the evolution of the literature of econo­ metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear structural econometric model (GLSEM). The problems one encounters in nonlinear econometrics are not easily amenable to treatment by the analytical methods one typically acquires, when one learns about probability and inference through the use of den­ sity functions. Even in standard traditional topics, one is often compelled to resort to heuristics; for example, it is difficult to prove central limit theorems for nonidentically distributed or martingale sequences, solely by the use of characteristic functions. Yet such proofs are essential, even in only moderately sophisticated classroom exposition. Unfortunately, relatively few students enter a graduate economics de­ partment ready to tackle probability theory in measure theoretic terms. The present volume has grown out of the need to lay the foundation for such discussions. The motivating forces were, chiefly, (a) the frustration one encounters in attempting to communicate certain concepts to stu­ dents wholly in analytic terms; and (b) the unwillingness of the typical student to sit through several courses in mathematics departments, in order to acquire the requisite background. Hardcover, Ausgabe: 1989, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 1989-12-06, Studio: Springer, Verkaufsrang: 3218634.

Lieferung aus: Niederlande, 3-4 weken.
bol.com.
For sometime now, I felt that the evolution of the literature of econo- metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear structural econometric model (GLSEM). The problems one encounters in nonlinear econometrics are not easily amenable to treatment by the analytical methods one typically acquires, when one learns about probability and inference through the use of den- sity func... For sometime now, I felt that the evolution of the literature of econo- metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear structural econometric model (GLSEM). The problems one encounters in nonlinear econometrics are not easily amenable to treatment by the analytical methods one typically acquires, when one learns about probability and inference through the use of den- sity functions. Even in standard traditional topics, one is often compelled to resort to heuristics; for example, it is difficult to prove central limit theorems for nonidentically distributed or martingale sequences, solely by the use of characteristic functions. Yet such proofs are essential, even in only moderately sophisticated classroom exposition. Unfortunately, relatively few students enter a graduate economics de- partment ready to tackle probability theory in measure theoretic terms. The present volume has grown out of the need to lay the foundation for such discussions. The motivating forces were, chiefly, (a) the frustration one encounters in attempting to communicate certain concepts to stu- dents wholly in analytic terms; and (b) the unwillingness of the typical student to sit through several courses in mathematics departments, in order to acquire the requisite background. Productinformatie:Taal: Engels;Afmetingen: 20x234x156 mm;Gewicht: 597,00 gram;ISBN10: 1461288738;ISBN13: 9781461288732; Engels | Paperback | 2011.

Von Händler/Antiquariat, Antiq. Bookfarm/ Sebastian Seckfort [54905055], Leipzig, Germany.
379 S. Buch in sehr gutem Zustand. 3540971785 Sprache: Englisch Gewicht in Gramm: 750.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, zzgl. Versandkosten.
For sometime now, I felt that the evolution of the literature of econo- metrics had mandated a higher level of mathematical proficiency. This is particularly evident beyond the level of the general linear model (GLM) and the general linear...

Von Händler/Antiquariat, Antiquariat Thomas Haker GmbH & Co. KG [1309982], Berlin, Germany.
XII, 379 S., With figures. Ex-Libr. , Good condition. Sprache: Englisch Gewicht in Gramm: 720.

Lieferung aus: Kanada, Usually ships within 1 - 2 business days.
Von Händler/Antiquariat, pennywise_2014.
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Lieferung aus: Deutschland, zzgl. Versandkosten, 1461288738.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen

Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Topics-in-Advanced-Econometrics~~Phoebus-J-Dhrymes, Topics in Advanced Econometrics: Probability Foundations.

Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Topics-in-Advanced-Econometrics~~Phoebus-J-Dhrymes, Topics in Advanced Econometrics: Probability Foundations.