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Matrix Analysis 3e C - Schott
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Schott:

Matrix Analysis 3e C - edition reliée, livre de poche

2016, ISBN: 1119092485

[EAN: 9781119092483], Neubuch, [PU: John Wiley & Sons], MATHEMATICS / PROBABILITY & STATISTICS GENERAL, nach der Bestellung gedruckt Neuware - Printed after ordering - An up-to-date versi… Plus…

NEW BOOK. Frais d'envoiVersandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Matrix Analysis 3e C - Schott
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Matrix Analysis 3e C - Livres de poche

2016, ISBN: 1119092485

[EAN: 9781119092483], Neubuch, [PU: John Wiley & Sons], MATHEMATICS / PROBABILITY & STATISTICS GENERAL, Besorgungstitel Neuware - Rare Book Procurement - An up-to-date version of the comp… Plus…

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Matrix Analysis for Statistics James R. Schott Author
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ISBN: 9781119092483

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now … Plus…

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James R. Schott:
Matrix Analysis for Statistics - edition reliée, livre de poche

2016, ISBN: 9781119092483

Buch, Hardcover, 3rd edition, [PU: John Wiley & Sons Inc], John Wiley & Sons Inc, 2016

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James R. Schott:
Matrix Analysis for Statistics - edition reliée, livre de poche

ISBN: 9781119092483

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Matrix Analysis for Statistics James R. Schott Author

Matrix Analysis For Statistics by James R. Schott, 9781119092483

Informations détaillées sur le livre - Matrix Analysis for Statistics James R. Schott Author


EAN (ISBN-13): 9781119092483
ISBN (ISBN-10): 1119092485
Version reliée
Livre de poche
Date de parution: 2016
Editeur: Wiley Core >2 >T

Livre dans la base de données depuis 2016-07-20T02:31:52+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-02-15T13:09:40+01:00 (Paris)
ISBN/EAN: 9781119092483

ISBN - Autres types d'écriture:
1-119-09248-5, 978-1-119-09248-3
Autres types d'écriture et termes associés:
Auteur du livre: schott
Titre du livre: matrix analysis


Données de l'éditeur

Auteur: James R. Schott
Titre: Wiley Series in Probability and Statistics; Matrix Analysis for Statistics
Editeur: Wiley; John Wiley & Sons
552 Pages
Date de parution: 2016-08-05
Poids: 0,870 kg
Langue: Anglais
129,00 € (DE)
Not available (reason unspecified)
158mm x 242mm x 33mm

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Algebra; Mathematics; Mathematik; Spezialthemen Statistik; Statistics; Statistics - Text & Reference; Statistics Special Topics; Statistik; Statistik / Lehr- u. Nachschlagewerke; Algebra; Statistik / Lehr- u. Nachschlagewerke; Spezialthemen Statistik; BB

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions between topical coverage, the author carefully justifies the step-by-step process of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; and the distribution of quadratic forms. An ideal introduction to matrix analysis theory and practice, Matrix Analysis for Statistics, Third Edition features: * New chapter or section coverage on inequalities, oblique projections, and antieigenvalues and antieigenvectors * Additional problems and chapter-end practice exercises at the end of each chapter * Extensive examples that are familiar and easy to understand * Self-contained chapters for flexibility in topic choice * Applications of matrix methods in least squares regression and the analyses of mean vectors and covariance matrices Matrix Analysis for Statistics, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses on matrix methods, multivariate analysis, and linear models. The book is also an excellent reference for research professionals in applied statistics. James R. Schott, PhD, is Professor in the Department of Statistics at the University of Central Florida. He has published numerous journal articles in the area of multivariate analysis. Dr. Schott's research interests include multivariate analysis, analysis of covariance and correlation matrices, and dimensionality reduction techniques.

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