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  <namePart>Gujarati, Damodar N.</namePart>
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  <publisher>New York : McGraw-Hill</publisher>
  <dateIssued>1995</dateIssued>
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  <languageTerm type="text">Indonesia</languageTerm>
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 <note>Part 1 Single-Equation Regression Models 1. The Nature of Regression Analysis 2. Two-Variable Regression Analysis  Some Basic Ideas 3. Two-Variable Regression Model  The Problem of Estimation 4. The Normality Assumption  Classical Normal Linear Regression Model (CNLRM) 5. Two-Variable Regression  Interval Estimation and Hypothesis Testing 6. Extensions of the Two-Variable Linear Regression Model 7. Multiple Regression Analysis  The Problem of Estimation 8. Multiple V Analysis  The Problem of Inference 9. The Matrix Approach to Linear Regression Model Part 2 Relaxing the Assumptions of the Classical Model 10. Multicollinearity and Micronumerosity 11. Heteroscedasticity 12. Autocorrelation 13. Econometric Modeling I  Traditional Econometric Methodology 14. Econometric Modeling II  Alternative Econometric Methodology Part 3 Topics in Econometrics 15. Regression on Dummy Variables 16. Regression on Dummy Dependent Variable  The LPM  Logit  Probit  and Tobit Models 17. Dynamic Econometric Model  Autoregressive and Distributed-Lag Models Part 4 Simulataneous-Equation Mpdels 18. Simultaneous-Equation Models 19. The Identification Problem 20. Simulataneous-Equation Methods Part 5 Time Series Econometrics 21. Time Series Econometric I  Stationarity  Unit Roots  and Coiuntegration 22. Time Series Econometric II  Forecasting with ARIMA and VAR Models </note>
 <subject authority="">
  <topic>1. EKONOMETRIKA</topic>
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 <classification>330.015118 GUJ b</classification>
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