ISBN: 9780387976600 - applied multivariate data analysis: regression and experimental design (springer texts in statistics) (6 Ergebnisse)

Hardback. Zustand: Good. An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.…

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 652 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Zustand: New. In English.

Zustand: Sehr gut. corrected second printing. 621 S. Einband leicht berieben, Besitzereintrag, sonst sehr gut erhalten. Beigefügte Floppy Disk/Diskette noch ungeöffnet. No shipping to other EU countries due to the EU Packaging and Packaging Waste Regulation (PPWR), which entered into force on August 12, 2026. Sprache: Englisch Gewicht in Gramm: 1071 8°, hardcover, gebundene Ausgabe.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.…