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Essentials of econometrics / Damodar Gujarati.

By: Material type: TextPublication details: New York : McGraw-Hill, 1992.Description: xxii, 466 pISBN:
  • 0071126244
  • 0070251940
Subject(s): LOC classification:
  • HB139 .G85
Contents:
1.the nature and scope of econometric s., 2.basics of probability and statistics.,3. some important probability distributions., 4.statistical inference and hypothesis testing., 5. basic ideas of linear regression: the two- variable model., 6. the two- variable regression model: hypothesis testing., 7.multiple regression: estimation and hypothesis testing.,8. functional form of regression models. 9. regression on dummy explanatory variables., 10. multicollinearity: what happens if explanatory variables are correlated., 11. heteroscedasticity is observed remedial measures., 12. autocorrelation: what happens if error terms are correlated., 13.model selection: criteria and tests. 14. selected topics in single equation regressino models
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Methodist University Library Main General Stacks Reference HB139 .G85 (Browse shelf(Opens below)) 1 Available 20991

Include bibliographical reference and index

1.the nature and scope of econometric s., 2.basics of probability and statistics.,3. some important probability distributions., 4.statistical inference and hypothesis testing., 5. basic ideas of linear regression: the two- variable model., 6. the two- variable regression model: hypothesis testing., 7.multiple regression: estimation and hypothesis testing.,8. functional form of regression models. 9. regression on dummy explanatory variables., 10. multicollinearity: what happens if explanatory variables are correlated., 11. heteroscedasticity is observed remedial measures., 12. autocorrelation: what happens if error terms are correlated., 13.model selection: criteria and tests. 14. selected topics in single equation regressino models

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