01563nam a2200193   450000100060000001000150000610000410002110100080006220000320007021000410010221500160014322500300015933010920018960600130128160600160129460600260131070000190133685200140135529206  a0070394121  a20010801d1977       y0pory50      ba  aeng  aEconometricsfG. S. Maddala  aSingapuracMcGraw-Hill Cook Cod1977  a516p.d21cm  aEconomics Handbook Series  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.  aECONOMIA  aECONOMETRIA  aECONOMIA MATEMÁTICA  aMaddalabG. S.  j330.43MAD