matrix algebra statisticians perspective (8 Ergebnisse)

Paperback. Zustand: Fair. 1st ed. 1997. 2nd printing 2008. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Zustand: Sehr gut. 1. Auflage. 630 Seiten Zustand: Einband etwas berieben, Schnitt mit Wasserflecken // Englische Ausgabe A knowledge of matrix algebra is a prerequisite for the study of much of modern statistics, especially the areas of linear statistical models and multivariate statistics. This reference book provides the background in matrix algebra necessary to do research and understand the results in these areas. Essentially self-contained, the book is best-suited for a reader who has had some previous exposure to matrices. Solultions to the exercises are available in the author's "Matrix Algebra: Exercises and Solutions.". /// Versand gratis Innerhalb Deutschlands - Portofrei in Deutschland- ab 20 Euro mit Post ID - Gratisversand deutschlandweit innerhalb Deutschlands gratis Versand -Versandkostenfrei innerhalb Deutschlands /// Sprache: Englisch Gewicht in Gramm: 1030 24,5 x 16,0 cm, Hardcover/Pappeinband.

Hardcover. Corr. 3. print. 630 S. Ehem. Bibliotheksexemplar mit Bib.-Signatur und Stempel in GUTEM Zustand. Kaum Gebrauchsspuren. 9780387949789 Sprache: Englisch Gewicht in Gramm: 550.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Neuware -Matrix algebra plays a very important role in statistics and in many other dis- plines. In many areas of statistics, it has become routine to use matrix algebra in thepresentationandthederivationorveri cationofresults. Onesuchareaislinear statistical models; another is multivariate analysis. In these areas, a knowledge of matrix algebra isneeded in applying important concepts, as well as instudying the underlying theory, and is even needed to use various software packages (if they are to be used with con dence and competence). On many occasions, I have taught graduate-level courses in linear statistical models. Typically, the prerequisites for such courses include an introductory (- dergraduate) course in matrix (or linear) algebra. Also typically, the preparation provided by this prerequisite course is not fully adequate. There are several r- sons for this. The level of abstraction or generality in the matrix (or linear) algebra course may have been so high that it did not lead to a ¿working knowledge¿ of the subject, or, at the other extreme, the course may have emphasized computations at the expense of fundamental concepts. Further, the content of introductory courses on matrix (or linear) algebra varies widely from institution to institution and from instructor to instructor. Topics such as quadratic forms, partitioned matrices, and generalized inverses that play an important role in the study of linear statistical models may be covered inadequately if at all.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 656 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Matrix algebra plays a very important role in statistics and in many other dis- plines. In many areas of statistics, it has become routine to use matrix algebra in thepresentationandthederivationorveri cationofresults. Onesuchareaislinear statistical models; another is multivariate analysis. In these areas, a knowledge of matrix algebra isneeded in applying important concepts, as well as instudying the underlying theory, and is even needed to use various software packages (if they are to be used with con dence and competence). On many occasions, I have taught graduate-level courses in linear statistical models. Typically, the prerequisites for such courses include an introductory (- dergraduate) course in matrix (or linear) algebra. Also typically, the preparation provided by this prerequisite course is not fully adequate. There are several r- sons for this. The level of abstraction or generality in the matrix (or linear) algebra course may have been so high that it did not lead to a 'working knowledge' of the subject, or, at the other extreme, the course may have emphasized computations at the expense of fundamental concepts. Further, the content of introductory courses on matrix (or linear) algebra varies widely from institution to institution and from instructor to instructor. Topics such as quadratic forms, partitioned matrices, and generalized inverses that play an important role in the study of linear statistical models may be covered inadequately if at all.

Zustand: New. In one volume, here is comprehensive coverage of the fundamentals of matrix algebra. It will be of particular interest to those with a background in statistics. Included is a wealth of results that have thus far been available only from obscure sources. Num Pages: 634 pages, biography. BIC Classification: PBF; PBT. Category: (U) Tertiary Education (US: College). Dimension: 233 x 155 x 35. Weight in Grams: 926. . 2008. 1st ed. 1997. 2nd printing 2008. Paperback. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Near Fine. No Jacket. 630 pages in near fine condition. Pages are clean and unmarked. Previous owner's signature on the ffep. Tan hardcovers with black titles. Some very light scuffing on the lower cover. Some light bumping on the corners. Corrected 3rd Printing. NF. Book.