Introduction to Regression Analysis
Seiten
2003
WIT Press (Verlag)
9781853126246 (ISBN)
WIT Press (Verlag)
9781853126246 (ISBN)
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An introduction to regression analysis, this text emphasizes the classical linear model using least squares estimation and inference. It also covers regression diagnostics. The theoretical foundation of the subject is based on extensive use of matrix algebra.
Regression analysis has been one of the most widely used statistical methodologies for analyzing relationships among variables during the past fifty years. Due to its flexibility, usefulness, applicability, theoretical and technical succinctness, it has become a basic statistical tool for solving problems in the real world. In order to apply regression analysis effectively, it is necessary to understand both the underlying theory and its practical application. This book explores conventional topics as well as recent practical developments, linking theory with application. Intended to continue from where most basic statistics texts end, it is designed primarily for advanced undergraduates, graduate students and researchers in various fields of engineering, chemical and physical sciences, mathematical sciences and statistics.
Regression analysis has been one of the most widely used statistical methodologies for analyzing relationships among variables during the past fifty years. Due to its flexibility, usefulness, applicability, theoretical and technical succinctness, it has become a basic statistical tool for solving problems in the real world. In order to apply regression analysis effectively, it is necessary to understand both the underlying theory and its practical application. This book explores conventional topics as well as recent practical developments, linking theory with application. Intended to continue from where most basic statistics texts end, it is designed primarily for advanced undergraduates, graduate students and researchers in various fields of engineering, chemical and physical sciences, mathematical sciences and statistics.
Chapter 1: Introduction Chapter 2: Some Basic Results in Probability and Statistics Chapter 3: Simple Linear Regression Chapter 4: Random Vectors and Matrix Algebra Chapter 5: Multiple Regression Chapter 6: Residuals, Diagnostics and Transformations Chapter 7: Further Applications of Regression Techniques Chapter 8: Selection of Regression Model Chapter 9: Multicollinearity: Diagnosis and Remedies
| Erscheint lt. Verlag | 19.12.2003 |
|---|---|
| Zusatzinfo | illustrations |
| Verlagsort | Southampton |
| Sprache | englisch |
| Maße | 165 x 242 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Algebra |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-13 | 9781853126246 / 9781853126246 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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