Bierens herman j (87 risultati)

Condizione: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.…

Paperback. Condizione: Very Good. Reprint. First published 1994. 22.5 x 15 cm. 258pp. Card covers. Some light creasing in covers. Spine not creased. Book.

Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:052141900X. …

Condizione: New.

Softcover. Condizione: Sehr gut. Berlin, Springer 1981 gr.8°. 198 p. Pbck. Lecture Notes in Economics and Mathematical Systems, 192.- Throughout slightly browned.

Paperback. Condizione: New. This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs. Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis. Therefore, this book is uniquely self-contained.…

TAPA BLANDA. Condizione: New.

Bierens, Herman J., 1943-. Robust methods and asymptotic theory in nonlinear econometrics. Berlin ; New York: Springer-Verlag, 1981, ix, 198pp., PAPERBACK, very good BUT with a library gift donation stamp inside front cover and previous owner's initials on cover, but book was never part of the library, just a gift. Lecture notes in economics and mathematical systems, 192. 9783540108382 ISBN 0387108386.…

Softcover. Condizione: Good. No Jacket. xii, 258 p.

Condizione: New. In English.

Condizione: New. In English.

Condizione: New. pp. 272.

Condizione: New. pp. 344 Index.

hardcover. Condizione: Befriedigend. 258 Seiten; 9780521419000.4 Gewicht in Gramm: 1.

paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: New. A rigorous treatment of a number of timely topics in advanced econometrics. Num Pages: 272 pages, 5 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 16. Weight in Grams: 391. . 2009. Revised ed. paperback. . . . . Books ship from the US and Ireland.…

Condizione: New. This book is intended for use in a rigorous introductory PhD level course in econometrics. Series Editor(s): Phillips, Peter C. B.; Ghysels, Eric; Smith, Richard J. Series: Themes in Modern Econometrics. Num Pages: 344 pages, 19 b/w illus. 12 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 151 x 19. Weight in Grams: 524. . 2004. Paperback. . . . . Books ship from the US and Ireland. …

paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book Herman Bierens provides a mathematically rigorous treatment of a number of timely topics in advanced econometrics. His subjects include nonlinear estimation, maximum likelihood theory, ARMA and ARMAX models, unit roots and cointegration, and nonparametric regression, together with an extensive and thorough treatment of the necessary probability theory. Professor Bierens' study is uniquely self-contained, providing the reader with a selection of the latest developments in econometric theory, along with the required introductory material on each topic. It will be of great use to graduate students of econometrics and statistics, and is particularly suitable for self-tuition.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs. Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis. Therefore, this book is uniquely self-contained.…

Condizione: New. A rigorous treatment of a number of timely topics in advanced econometrics. Num Pages: 272 pages, 5 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 16. Weight in Grams: 391. . 2009. Revised ed. paperback. . . . .

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. This book is intended for use in a rigorous introductory PhD level course in econometrics. Series: Themes in Modern Econometrics. Num Pages: 344 pages, 19 b/w illus. 12 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 24. Weight in Grams: 600. . 2005. Illustrated. hardcover. . . . .…

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: New. This book is intended for use in a rigorous introductory PhD level course in econometrics. Series Editor(s): Phillips, Peter C. B.; Ghysels, Eric; Smith, Richard J. Series: Themes in Modern Econometrics. Num Pages: 344 pages, 19 b/w illus. 12 tables. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 228 x 151 x 19. Weight in Grams: 524. . 2004. Paperback. . . . . …

Condizione: New.

Condizione: New. In English.

Condizione: New.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs. Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis. Therefore, this book is uniquely self-contained. …

Paperback. Condizione: New. This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs. Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis. Therefore, this book is uniquely self-contained.…