linear models least squares von rao c radhakrishna (11 Ergebnisse)

Broschiert. Zustand: Gut. 352 Seiten; Das Buch ist ordentlich erhalten und kann altersbedingte Gebrauchsspuren aufweisen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 345.

Hardcover. Second Printing. Octavo, vi, xi, 352 pages. In Very Good condition. Bound in the publisher's yellow cloth bearing white and brown lettering to the spine. Boards have slight wear including mild sunning to the spine and light edge wear. Text block has very slight wear. Illustrated. Second printing, with corrections. NOTE: Shelved in Locked Annex, Column X. 1405856. FP New Rockville Stock.

Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: No Dust Jacket. Hardcover in very good condition. Board edges lightly sunned. Pages are clean, and text and illustrations are clear. TH. Used.

Hardback. Zustand: Very Good. No Jacket. 2nd 1999. Slightly better than very good condition with no wrapper. Second Edition. This book provides an up-to-date (at the time of publication) account of the theory and applications of linear models. Yellow glazed boards. Contents clean. Packaged with care and promptly dispatched!

Taschenbuch. Zustand: Neu. Linear Models and Generalizations | Least Squares and Alternatives | C. Radhakrishna Rao (u. a.) | Taschenbuch | xix | Englisch | 2010 | Springer Vieweg | EAN 9783642093531 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: Brand New. 3rd, extended ed. edition. 570 pages. 9.00x6.00x1.34 inches. In Stock.

Taschenbuch. Zustand: 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.

Buch. Zustand: 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.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.