Econometrics / G. S. Maddala
Idioma: Inglês.Publicação: Singapura : McGraw-Hill Cook Co, 1977Descrição física: 516p.; 21cmColeção: Economics Handbook SeriesISBN: 0070394121Assunto: 780 | 101637 | 120002Localização e Cota : 330.43MAD Resumo: PART 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.| Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Monografias | Biblioteca da Direção-Geral da Política de Justiça | 330.43MAD (Browse shelf) | 2088 | Available | DGPJ2088116533 |
PART 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.
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