000			01687nam a2200229 4500
001			29206
010			_a0070394121
090			_a29206
100			_a20010801d1977 y0pory50 ba
101			_aeng
200			_aEconometrics _fG. S. Maddala
210			_aSingapura _cMcGraw-Hill Cook Co _d1977
215			_a516p. _d21cm
225			_aEconomics Handbook Series
330			_aPART ONE: Introduction. Chapter 1 - Data, variables and models. PART TWO: Introduction to probability and statistical inference. Chapter 2 - Probability. Chapter 3 - Random Variables and Probability Distributions. Chapter 4 - Classical Statistical Inference. Chapter 5 - Bayesian Inference and Decision Theory. PART THREE: Introduction to econometric methods. Chapter 6 - Descriptive Measures. Chapter 7 - Simple Linear Regression. Chapter 8 - Multiple Regression. Chapter 9 - Dummy Variables, Lagged Variables and Nonlinearities in Multiple Regression. Chapter 10 - Some Further Topics in Multiple Regression. Chapter 11 - Introduction to Simultaneous-Equation Models. PART FOUR: Further Discussion of Selected Topics. Chapter 12 - Heteroscedasticity and Autocorrelation. Chapter 13 - Errors in Variables and Nonnormal Errors. Chapter 14 - Covariance Analysis and Pooling Cross-Section and Time-Series Data. Chapter 15 - Trend, Seasonal Variation and Forecasting. Chapter 16 - Distributed-Lag Models. Chapter 17 - Varying Parameter Models. Chapter 18 - Bayesian Methods in Econometrics.
606			_aECONOMIA _9780
606			_aECONOMETRIA _9101637
606			_aECONOMIA MATEMÁTICA _9120002
700			_aMaddala _bG. S. _9120304
852			_j330.43MAD