Linear Statistical Models

James H. Stapleton (Autor)

Buch | Hardcover

472 Seiten

1995
John Wiley & Sons Inc (Verlag)
978-0-471-57150-6 (ISBN)

Infos

This graduate-level text concentrates on linear statistical models: mathematical models which are linear in the unknown parameters and which include a random error term. This error term is what makes the models "statistical". The author focuses on the geometry of these vector spaces.

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Linear statistical models are mathematical models which are linear in the unknown parameters and which include a random error term. This error term is what makes the models "statistical". These models lead to the methodology usually called "multiple regression" or "analysis of variance" and have wide applicability in the physical, biological, social, engineering, and business sciences.

Autor

JAMES H. STAPLETON teaches in the Department of Statistics and Probability at Michigan State University.

Inhalt

Linear Algebra, Projections; Random Vectors; The Linear Model; Fitting of Regression Models; Simultaneous Confidence Intervals; Two-Way and Three-Way Analyses of Variance; Miscellaneous Other Models; Analysis of Frequency Data; References; Appendix; Answers; Indexes.

Produkt-Details

• Erscheint lt. Verlag: 5.9.1995
• Reihe/Serie: Wiley Series in Probability & Mathematical Statistics: Applied Probability & Statistics
• Zusatzinfo: Illustrations
• Verlagsort: New York
• Sprache: englisch
• Maße: 162 x 242 mm
• Gewicht: 822 g
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• ISBN-10: 0-471-57150-4 / 0471571504
• ISBN-13: 978-0-471-57150-6 / 9780471571506
• Zustand: Neuware