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A course in econometrics/ Arthur S. Goldberger

By: Goldberger, Arthur S Material type: Text

TextPublication details: Cambridge: Harvard University Press, 1991Description: xvii, 405 p. : ill. ; 25 cmISBN: 9780674175440Subject(s): EconometricsDDC classification: 330.015195

Contents:

1. Emprical Relations -- 2. Unvariate Probability Distributions -- 3. Expectaitions: Unvariate Case -- 4. Bivariate Probability Distributions -- 5. Expectations: Bivariate Case -- 6. Independence in Bivariate Distribution -- 7. Normal Distributions -- 8. Sampling Distributions: Unvvariate Cse -- 9. Asymptothic Distribution Theory -- 10. Sampling Distributions: Unvariate Case -- 11. Parameter Estimation-- 12. Advanced Estimation Theory-- 13. Estimationg a Population Relation -- 14. Multiple Regression-- 15. Classical Regression -- 16. Classical Regression: Interpretation and Application -- 17. Regression Algebra-- 18. Multivariable Normal Distribution-- 19. Classical Normal Regression -- 20. CNR MODEL: Hypothesis Testing-- 21. CNR MODEL: Inference with Variance 2 Unknown -- 22. Issues in Hypothesis Testing -- 23. Multicollineariity -- 24. Regression Strategies -- 25. Regression with X Random -- 26. TTime Series -- 27. Generalized Classical Regression-- 28. Heteroskedasticity and Autocorrolation -- 29. Nonlinear Regression -- 30. Regression Systems -- 31. Structural Equation Models-- 32. Simultaneous-Equation Model-- 33. Identification and Restrictions-- 34. Estimation in the Simultaneous-Equation Model-- Appendix A. Statistical and Data Tables-- Appendix B. Getting Started in GAUSS -- References -- Index.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
General Books	Central Library, Sikkim University General Book Section	330.015195 GOL/A (Browse shelf(Opens below))	Available		P07558

Total holds: 0

1. Emprical Relations --
2. Unvariate Probability Distributions --
3. Expectaitions: Unvariate Case --
4. Bivariate Probability Distributions --
5. Expectations: Bivariate Case --
6. Independence in Bivariate Distribution --
7. Normal Distributions --
8. Sampling Distributions: Unvvariate Cse --
9. Asymptothic Distribution Theory --
10. Sampling Distributions: Unvariate Case --
11. Parameter Estimation--
12. Advanced Estimation Theory--
13. Estimationg a Population Relation --
14. Multiple Regression--
15. Classical Regression --
16. Classical Regression: Interpretation and Application --
17. Regression Algebra--
18. Multivariable Normal Distribution--
19. Classical Normal Regression --
20. CNR MODEL: Hypothesis Testing--
21. CNR MODEL: Inference with Variance 2 Unknown --
22. Issues in Hypothesis Testing --
23. Multicollineariity --
24. Regression Strategies --
25. Regression with X Random --
26. TTime Series --
27. Generalized Classical Regression--
28. Heteroskedasticity and Autocorrolation --
29. Nonlinear Regression --
30. Regression Systems --
31. Structural Equation Models--
32. Simultaneous-Equation Model--
33. Identification and Restrictions--
34. Estimation in the Simultaneous-Equation Model--
Appendix A. Statistical and Data Tables--
Appendix B. Getting Started in GAUSS --
References --
Index.

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