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  • Dhrymes, Phoebus J.

    Language: English

    Published by Springer New York, 1978

    ISBN 10: 0387903178 ISBN 13: 9780387903170

    Seller: Better World Books, Mishawaka, IN, U.S.A.

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    First Edition

    US$ 25.71

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    Condition: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

  • Phoebus Dhrymes

    Language: English

    Published by Springer International Publishing AG, Cham, 2017

    ISBN 10: 3319659146 ISBN 13: 9783319659145

    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.

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    First Edition

    US$ 145.46

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    Hardcover. Condition: new. Hardcover. This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Thoroughly updated to address the developments in the field that have occurred since the original publication of this classic text, the second edition has been expanded to include two chapters on time series analysis and one on nonparametric methods. Discussions on covariance (including GMM), partial identification, and empirical likelihood have also been added. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. This book is intended for upper undergraduate and first year graduate courses in economics and statistics and also has applications in mathematics and some social sciences where a reasonable knowledge of matrix algebra and probability theory is common. It is also ideally suited for practicing professionals who want to deepen their understanding of the methods they employ. Also available for the new edition is a solutions manual, containing answers to the end-of-chapter exercises. This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Phoebus Dhrymes

    Language: English

    Published by Springer International Publishing AG, Cham, 2017

    ISBN 10: 3319659146 ISBN 13: 9783319659145

    Seller: AussieBookSeller, Truganina, VIC, Australia

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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    First Edition

    US$ 214.04

    US$ 37.00 shipping
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    Hardcover. Condition: new. Hardcover. This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Thoroughly updated to address the developments in the field that have occurred since the original publication of this classic text, the second edition has been expanded to include two chapters on time series analysis and one on nonparametric methods. Discussions on covariance (including GMM), partial identification, and empirical likelihood have also been added. The selection of topics and the level of discourse give sufficient variety so that the book can serve as the basis for several types of courses. This book is intended for upper undergraduate and first year graduate courses in economics and statistics and also has applications in mathematics and some social sciences where a reasonable knowledge of matrix algebra and probability theory is common. It is also ideally suited for practicing professionals who want to deepen their understanding of the methods they employ. Also available for the new edition is a solutions manual, containing answers to the end-of-chapter exercises. This book provides a rigorous introduction to the principles of econometrics and gives students and practitioners the tools they need to effectively and accurately analyze real data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.