Fler böcker inom
- Format
- Häftad (Paperback)
- Språk
- Engelska
- Antal sidor
- 672
- Utgivningsdatum
- 1997-05-01
- Upplaga
- 4
- Förlag
- McGraw-Hill Education
- Medarbetare
- Rubinfeld, Daniel
- Dimensioner
- 228 x 152 x 33 mm
- Vikt
- Antal komponenter
- 1
- ISBN
- 9780071158367
- 840 g
Econometric Models and Economic Forecasts (Text alone)
789
- Skickas inom 7-10 vardagar.
- Gratis frakt inom Sverige över 199 kr för privatpersoner.
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Innehållsförteckning
The Basics of Regression AnalysisChapter 1. Introduction to the Regression ModelChapter 2. Elementary StatisticsChapter 3. The Two-Variable Regression ModelChapter 4. The Multiple Regression ModelChapter 5. Using the Multiple Regression ModelChapter 6. Serial Correlation and HeterosedasticityChapter 7. Instrumental Variables and Model SpecificationChapter 8. Forecasting with a Single-Equation Regression ModelChapter 9. Single-Equation EstimationChapter 10. Nonlinear and Maximum-Likelihood Estimation
Chapter 2. Elementary StatisticsChapter 3. The Two-Variable Regression ModelChapter 4. The Multiple Regression ModelChapter 5. Using the Multiple Regression ModelChapter 6. Serial Correlation and HeterosedasticityChapter 7. Instrumental Variables and Model SpecificationChapter 8. Forecasting with a Single-Equation Regression ModelChapter 9. Single-Equation EstimationChapter 10. Nonlinear and Maximum-Likelihood Estimation
Chapter 4. The Multiple Regression ModelChapter 5. Using the Multiple Regression ModelChapter 6. Serial Correlation and HeterosedasticityChapter 7. Instrumental Variables and Model SpecificationChapter 8. Forecasting with a Single-Equation Regression ModelChapter 9. Single-Equation EstimationChapter 10. Nonlinear and Maximum-Likelihood Estimation
Chapter 6. Serial Correlation and HeterosedasticityChapter 7. Instrumental Variables and Model SpecificationChapter 8. Forecasting with a Single-Equation Regression ModelChapter 9. Single-Equation EstimationChapter 10. Nonlinear and Maximum-Likelihood Estimation
Chapter 8. Forecasting with a Single-Equation Regression ModelChapter 9. Single-Equation EstimationChapter 10. Nonlinear and Maximum-Likelihood Estimation
Chapter 10. Nonlinear and Maximum-Likelihood Estimation
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