Linear regression analysis G.A.F. Seber. Wiley series in probability and mathematical statistics Probability and mathematical statistics.

Seber, George Arthur Frederick:

ISBN 10: 0471019674 / ISBN 13: 9780471019671

Published by New York, J Wiley [1977]., 1977

About this Item

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 SEB 9780471019671 Sprache: Englisch Gewicht in Gramm: 1150.

Seller Inventory # 2506169

Bibliographic Details

• Title: Linear regression analysis G.A.F. Seber. Wiley series in probability and mathematical statistics Probability and mathematical statistics.
• Publisher: New York, J Wiley [1977].
• Publication Date: 1977
• Language: English
• ISBN 10: 0471019674
• ISBN 13: 9780471019671
• Binding: Hardcover
• Weight: 1150 grams
• Seller catalogs:
  • SA MATHEMATIK

About this title

Synopsis

Description: Regression analysis is an often used tool in the statistician's toolbox. This new edition takes into serious consideration the furthering development of regression computer programs that are efficient, accurate, and considered an important part of statistical research. The book provides up-to-date accounts of computational methods and algorithms currently in use without getting entrenched in minor computing details.

Review

"With excellent motivating and presenting style, this book is suitable for a beginning graduate level regression course." ( Journal of Statistical Computation and Simulation, July 2005)

"...revises and expands the standard text, providing extensive coverage of state–of–the–art theory..." (Zentralblatt Math, Vol. 1029, 2004)

"...largely rewritten...very useful for self–study...an excellent choice for a course in linear models and researchers who are interested in recent literature in the fields..." (Technometrics, Vol. 45, No. 4, November 2003)

“...rewritten to reflect current thinking, such as the major advances in computing during the past 25 years.” (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)