Buch, Englisch, 480 Seiten, Format (B × H): 208 mm x 239 mm, Gewicht: 1170 g
Buch, Englisch, 480 Seiten, Format (B × H): 208 mm x 239 mm, Gewicht: 1170 g
ISBN: 978-0-12-088597-8
Verlag: Elsevier Science
Regression Analysis provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.
Zielgruppe
Because of the universal appeal of statistics and statistical methodology, most graduate programs include as part of their curriculum one or two course in statistical methods. In addition, undergraduate students majoring in mathematics or statistics are required or encouraged to take courses in statistical methods. This book is intended to serve as a text for such courses. The book requires no mathematics beyond algebra, however, mathematically oriented students will still find the material in the text challenging.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Mathematische Analysis Moderne Anwendungen der Analysis
Weitere Infos & Material
1. The Analysis of Means: A Review of Basics and an Introduction to Linear Models 2. Simple Linear Regression:Linear Regression with One Independent Variable 3. Multiple Regression 4. Problems with Observations 5. Multicollinearity 6. Problems with the Model 7. Curve Fitting 8. Introduction to Nonlinear Models 9. Indicator Variables 10. Categorical Response Variables 11. Generalized Linear Models
Appendix A: Statistical Tables B: A Brief Introduction to Matrices C: Estimation Procedures
