Livros Técnicos na Ilha da Madeira

Autores: George G. Judge, R. Carter Hill, William E. Griffiths, Helmut Lütkepohl, Tsoung-Chao Lee Edição: 1982 Editora: Wiley (John Wiley & Sons) ISBN: 0-471-08277-5 Série: Wiley Series in Probability and Mathematical Statistics Título: Introduction to The Theory and Practice of Econometrics Contents: Statistical Tables Chapter 1: Introduction Part 1: Foundations: Statistical Model Specification, Estimation, and Inference Chapter 2: Analysis of a Sample of Data Chapter 3: Analysis of a Sample from Normal Population Chapter 4: Interval Estimation and Hypothesis Testing in the Normal Linear Model Chapter 5: The Bayesian Approach to Estimating the Mean and Variance of a Normal Population Part 2: The General Linear Statistical Model Chapter 6: The General Linear Statistical Model Chapter 7: The Normal General Linear Statistical Model Chapter 8: Bayesian Estimation and Inference for the Normal Linear Statistical Model Part 3: The Generalized Linear Statistical Model Chapter 9: Linear Stochastic Regressor Models and Asymptotic Theory Chapter 10: General Linear Statistical Model with Non-Scalar Identity Covariance Matrix Chapter 11: Disturbance-Related Sets of regression Equations Part 4: Simultaneous Linear Statistical Models Chapter 12: An Introduction to Simultaneous Linear Statistical Models Chapter 13: Estimation and Inference for Simultaneous Linear Statistical Models Part 5: Some Procedures for Handling an Unknown Covariance Matrix Chapter 14: Heteroscedasticity Chapter 15: Autocorrelation Part 6: Pooling of Data and Varying Parameter Models Chapter 16: Using Time Series and Cross-sectional Data Chapter 17: Variable Parameter Models Part 7: Unobservable and Qualitative Variables Chapter 18: Models with Qualitative or Limited Dependent Variables Chapter 19: Unobservable Variables Part 8: Nonsample Information, Biased Estimation, and Choosing the Dimension and Form of the Design Matrix Chapter 20: The Use of Nonsample Information Chapter 21: Biased Information Chapter 22: Model Specification - Variable Selection Chapter 23: Multicollinearity Part 9: The Nonlinear Statistical Model Chapter 24: Nonlinear Regression Models Part 10: Time Series and Distributed Lag Models Chapter 25: Time Series Analysis and Forecasting Chapter 26: Analysis of Bivariate Time Series Chapter 27: Distributed Lag Models Chapter 28: Summary of Statistical Models, Estimators and Tests Index

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