Bierens H J (24 results)

Condition: Good. Volume 192. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:3540108386.…

Condition: Sehr gut. 1. Jgg. 517 S. Vollständiger Jahrgang der Zeitschrift zu einem Buch zusammengebunden. Ausgetragenes Bibliotheksexemplar, daher Stempel auf Vorsatz u. Schmutztitel, Inventarnummern auf Frontdeckel u. Vorsatz, sowie Spuren einer Nummer auf Rücken. Papier altersbedingt geringfügig gebräunt. Buch ist in einem sehr guten Zustand. Keine Eintragungen. MIG-25-06B Sprache: Niederländisch Gewicht in Gramm: 1132 4°, Halbleder, Bibliothekseinband.…

Condition: New.

Condition: Sehr gut. 3. Jgg. 595 S. Vollständiger Jahrgang der Zeitschrift zu einem Buch zusammengebunden. Ausgetragenes Bibliotheksexemplar, daher Stempel auf Vorsatz, fliegenden Blättern u. Schmutztitel, sowie Inventarnummern auf Frontdeckel, Rücken u. Vorsatz. Papier altersbedingt geringfügig gebräunt. Buch ist in einem sehr guten Zustand. Keine Eintragungen. B08-03-06D Sprache: Niederländisch Gewicht in Gramm: 1295 8° Halbleder, Bibliothekseinband.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

hardbound, 8vo 78 pp. goede conditie.

Hardcover. Condition: Fair. Redelijk, hardcover, 78 pp., 24,8x16,5x0,8 cm, met noten Naam in pen op schutblad. Gebruikssporen omslag. , wordt verzonden als brievenbuspakket.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. pp. 216.

Paperback. Condition: Brand New. 207 pages. German language. 9.53x6.54x0.55 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This Lecture Note deals with asymptotic properties, i.e. weak and strong consistency and asymptotic normality, of parameter estimators of nonlinear regression models and nonlinear structural equations under various assumptions on the distribution of the data. The estimation methods involved are nonlinear least squares estimation (NLLSE), nonlinear robust M-estimation (NLRME) and non linear weighted robust M-estimation (NLWRME) for the regression case and nonlinear two-stage least squares estimation (NL2SLSE) and a new method called minimum information estimation (MIE) for the case of structural equations. The asymptotic properties of the NLLSE and the two robust M-estimation methods are derived from further elaborations of results of Jennrich. Special attention is payed to the comparison of the asymptotic efficiency of NLLSE and NLRME. It is shown that if the tails of the error distribution are fatter than those of the normal distribution NLRME is more efficient than NLLSE. The NLWRME method is appropriate if the distributions of both the errors and the regressors have fat tails. This study also improves and extends the NL2SLSE theory of Amemiya. The method involved is a variant of the instrumental variables method, requiring at least as many instrumental variables as parameters to be estimated. The new MIE method requires less instrumental variables. Asymptotic normality can be derived by employing only one instrumental variable and consistency can even be proved with out using any instrumental variables at all.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Alcan, Paris, 1938, in-8, br., 288 p., fig. et planches I.T. et H.T. Bon ex. en partie non coupé (II).

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Lecture Note deals with asymptotic properties, i.e. weak and strong consistency and asymptotic normality, of parameter estimators of nonlinear regression models and nonlinear structural equations under various assumptions on the distribution of the data. The estimation methods involved are nonlinear least squares estimation (NLLSE), nonlinear robust M-estimation (NLRME) and non linear weighted robust M-estimation (NLWRME) for the regression case and nonlinear two-stage least squares estimation (NL2SLSE) and a new method called minimum information estimation (MIE) for the case of structural equations. The asymptotic properties of the NLLSE and the two robust M-estimation methods are derived from further elaborations of results of Jennrich. Special attention is payed to the comparison of the asymptotic efficiency of NLLSE and NLRME. It is shown that if the tails of the error distribution are fatter than those of the normal distribution NLRME is more efficient than NLLSE. The NLWRME method is appropriate if the distributions of both the errors and the regressors have fat tails. This study also improves and extends the NL2SLSE theory of Amemiya. The method involved is a variant of the instrumental variables method, requiring at least as many instrumental variables as parameters to be estimated. The new MIE method requires less instrumental variables. Asymptotic normality can be derived by employing only one instrumental variable and consistency can even be proved with out using any instrumental variables at all. 216 pp. Englisch.…

Condition: New. Print on Demand pp. 216 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 216.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This Lecture Note deals with asymptotic properties, i.e. weak and strong consistency and asymptotic normality, of parameter estimators of nonlinear regression models and nonlinear structural equations under various assumptions on the distribution of the dat.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Lecture Note deals with asymptotic properties, i.e. weak and strong consistency and asymptotic normality, of parameter estimators of nonlinear regression models and nonlinear structural equations under various assumptions on the distribution of the data. The estimation methods involved are nonlinear least squares estimation (NLLSE), nonlinear robust M-estimation (NLRME) and non linear weighted robust M-estimation (NLWRME) for the regression case and nonlinear two-stage least squares estimation (NL2SLSE) and a new method called minimum information estimation (MIE) for the case of structural equations. The asymptotic properties of the NLLSE and the two robust M-estimation methods are derived from further elaborations of results of Jennrich. Special attention is payed to the comparison of the asymptotic efficiency of NLLSE and NLRME. It is shown that if the tails of the error distribution are fatter than those of the normal distribution NLRME is more efficient than NLLSE. The NLWRME method is appropriate if the distributions of both the errors and the regressors have fat tails. This study also improves and extends the NL2SLSE theory of Amemiya. The method involved is a variant of the instrumental variables method, requiring at least as many instrumental variables as parameters to be estimated. The new MIE method requires less instrumental variables. Asymptotic normality can be derived by employing only one instrumental variable and consistency can even be proved with out using any instrumental variables at all.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have. …