Allen Webster

Introductory Regression Analysis (eBook, PDF)

with Computer Application for Business and Economics

• Format: PDF

Produktbeschreibung

This text is designed to help students fully understand regression analysis, its components, and its uses. Taking into consideration current statistical technology, it focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 496
• Erscheinungstermin: 5. März 2013
• Englisch
• ISBN-13: 9781136593109
• Artikelnr.: 38274140

Autorenporträt

Allen Webster is a Professor at Bradley University. He gained his Ph.D. in Economics from Florida State University, and both an M.S. and B.S. in Economics from Fort Hays State University.

Inhaltsangabe

1. Review of Basic Concepts 2. An Introduction to Regression and
Correlation Analysis 3. Statistical Inferences in the Simple Regression
Model 4. Multiple Regression: Using Two or More Predictor Variables 5.
Residual Analysis and Model Specification 6. Using Qualitative and Limited
Dependent Variables 7. Heteroscedasticity 8. Autocorrelation 9. Non-Linear
Regression and the Selection of the Proper Functional Form 10. Simultaneous
Equations: Two Stage Least Squares 11. Forecasting with Time Series Data
and Distributed Lag Models