Publicado por Springer Berlin / Heidelberg, 2007
ISBN 10: 3540742263 ISBN 13: 9783540742265
Idioma: Inglés
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 43,88
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Librería: Sizzler Texts, SAN GABRIEL, CA, Estados Unidos de America
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Añadir al carritoSoft cover. Condición: New. Estado de la sobrecubierta: New. 3rd Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 94,16
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Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642093531 ISBN 13: 9783642093531
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 90,94
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level and as an accompanying text for courses in other areas. Some of the highlights in this book are as follows. A relatively extensive chapter on matrix theory (Appendix A) provides the necessary tools for proving theorems discussed in the text and o ers a selectionofclassicalandmodernalgebraicresultsthatareusefulinresearch work in econometrics, engineering, and optimization theory. The matrix theory of the last ten years has produced a series of fundamental results aboutthe de niteness ofmatrices,especially forthe di erences ofmatrices, which enable superiority comparisons of two biased estimates to be made for the rst time. We have attempted to provide a uni ed theory of inference from linear models with minimal assumptions. Besides the usual least-squares theory, alternative methods of estimation and testing based on convex loss fu- tions and general estimating equations are discussed. Special emphasis is given to sensitivity analysis and model selection. A special chapter is devoted to the analysis of categorical data based on logit, loglinear, and logistic regression models. The material covered, theoretical discussion, and a variety of practical applications will be useful not only to students but also to researchers and consultants in statistics.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 87,37
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
EUR 53,36
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Añadir al carritohardcover. Condición: Good. Third Edition 2008. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 114,98
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Librería: GoldBooks, Denver, CO, Estados Unidos de America
EUR 105,87
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Publicado por Springer Berlin Heidelberg, 2007
ISBN 10: 3540742263 ISBN 13: 9783540742265
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 128,39
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level and as an accompanying text for courses in other areas. Some of the highlights in this book are as follows. A relatively extensive chapter on matrix theory (Appendix A) provides the necessary tools for proving theorems discussed in the text and o ers a selectionofclassicalandmodernalgebraicresultsthatareusefulinresearch work in econometrics, engineering, and optimization theory. The matrix theory of the last ten years has produced a series of fundamental results aboutthe de niteness ofmatrices,especially forthe di erences ofmatrices, which enable superiority comparisons of two biased estimates to be made for the rst time. We have attempted to provide a uni ed theory of inference from linear models with minimal assumptions. Besides the usual least-squares theory, alternative methods of estimation and testing based on convex loss fu- tions and general estimating equations are discussed. Special emphasis is given to sensitivity analysis and model selection. A special chapter is devoted to the analysis of categorical data based on logit, loglinear, and logistic regression models. The material covered, theoretical discussion, and a variety of practical applications will be useful not only to students but also to researchers and consultants in statistics.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 53,32
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Añadir al carritohardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Publicado por Springer Berlin Heidelberg, 2007
ISBN 10: 3642093531 ISBN 13: 9783642093531
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 142,12
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Añadir al carritoPaperback. Condición: Brand New. 3rd, extended ed. edition. 570 pages. 9.00x6.00x1.34 inches. In Stock.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 93,78
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Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 145,18
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 180,88
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Añadir al carritoHardcover. Condición: Like New. Like New. book.