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ISBN: 9780470823675
Do you want to recognize the most suitable models for analysis of statistical data sets?This book provides a hands-on practical guide to using the most suitable models for analysis of sta… mais…
ISBN: 9780470823675
This book is a practical guide to selecting and applying the most appropriate time series model and analysis of data sets using EViews. After introducing EViews workfiles and how to carry… mais…
ISBN: 9780470823675
This book is a practical guide to selecting and applying the most appropriate time series model and analysis of data sets using EViews. After introducing EViews workfiles and how to carry… mais…
ISBN: 9780470823675
This book is a practical guide to selecting and applying the most appropriate time series model and analysis of data sets using EViews. After introducing EViews workfiles and how to carry… mais…
ISBN: 9780470823675
Fnac.com : Livraison gratuite et - 5% sur tous les livres. Time Series Data Analysis Using EViews, Statistics in Practice - Livre. Découvrez des nouveautés, des coups de cœur, des avis d'… mais…
Dados bibliográficos do melhor livro correspondente
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Dados detalhados do livro - Time Series Data Analysis Using EViews by I. Gusti Ngurah Agung Hardcover | Indigo Chapters
EAN (ISBN-13): 9780470823675
ISBN (ISBN-10): 0470823674
Livro de capa dura
Livro de bolso
Ano de publicação: 2009
Editor/Editora: I. Gusti Ngurah Agung
609 Páginas
Peso: 1,021 kg
Língua: eng/Englisch
Livro na base de dados desde 2007-08-24T02:11:24+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-03-24T01:20:25+00:00 (Lisbon)
Número ISBN/EAN: 0470823674
Número ISBN - Ortografia alternativa:
0-470-82367-4, 978-0-470-82367-5
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: ign, giusta, john wiley sons, gusti ngurah
Título do livro: data analysis, using eviews, only time will tell, data net ufo, this time different, little time, take your time, our time, once upon time never comes again, taken out time, four time, time goes, doing time, how tell time, time was, time brief, time series analysis
Dados da editora
Título: Time Series Data Analysis Using EViews
Editora: John Wiley & Sons
632 Páginas
Ano de publicação: 2009-02-17
Peso: 0,916 kg
Língua: Inglês
122,00 € (DE)
No longer receiving updates
162mm x 235mm x 33mm
BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Econometrics; Economics; Finanz- u. Wirtschaftsstatistik; Ökonometrie; Statistics; Statistics for Finance, Business & Economics; Statistik; Time Series; Volkswirtschaftslehre; Zeitreihen; Zeitreihenanalyse; Ökonometrie; Finanz- u. Wirtschaftsstatistik; Zeitreihen; Ökonometrie und Wirtschaftsstatistik
Contents Preface List Of Tables List Of Figures Chapter 1: Eviews Workfile And Descriptive Data Analysis 1.1 What Is The Eviews Workfile? 1.2 Basic Options In Eviews 1.3 Creating A Workfile 1.4 Illustrative Data Analysis 1.5 Special Notes And Comments 1.6 Statistics As A Sample Space Chapter 2: Continuous Growth Models 2.1 Introduction 2.2 Classical Growth Models 2.3 Autoregressive Growth Models 2.4. Residual Tests 2.5 Bounded Autoregressive Growth Models 2.6 Lagged Variables Or Autoregressive Growth Models 2.7 Polynomial Growth Model 2.8. Growth Models With Exogenous Variables 2.9. A Taylor Series Approximation Model 2.10 Alternative Univariate Growth Models 2.11 Multivariate Growth Models 2.12. Multivariate Ar(P) Glm With Trend 2.13. Generalized Multivariate Models With Trend 2.14 Special Notes And Comments 2.15 Alternative Multivariate Models With Trend 2.16. Generalized Multivariate Models With Time-Related-Effects Chapter 3: Discontinuous Growth Models 3.1 Introduction 3.2. Piecewise Growth Models 3.3 Piecewise S-Shape Growth Models 3.4 Two-Pieces Polynomial Bounded Growth Models 3.5 Discontinuous Translog Linear Ar(1) Growth Models. 3.6 Alternative Discontinuous Growth Models 3.7 Stability Test 3.8 Generalized Discontinuous Models With Trend 3.9 General Two-Pieces Models With Time-Related Effects 3.10. Multivariate Models By States And Time Periods 10.2 Not Recommended Models Chapter 4: Seemingly Causal Models 4.1 Introduction 4.2 Statistical Analysis Based On Single Time Series 4.3 Bivariate Seemingly Causal Models 4.4 Trivariate Seemingly Causal Models 4.5 System Equations Based On Trivariate Time Series 4.6. General System Of Equations 4.7 Seemingly Causal Models With Dummy Variables 4.8. General Discontinuous Seemingly Causal Models 4.9. Additional Selected Seemingly Causal Models 4.10. Final Notes In Developing Models Chapter 5: Special Cases Of Regression Models 5.1. Introduction 5.2 Specific Cases Of Growth Curve Models 5.3 Seemingly Causal Models 5.4 Lagged Variable Models And The Autoregresive Model 5.5 Cases Based On The Us Domestic Price Of Copper 5.6 Return Rate Models 5.7 Cases Based On The Basics Workfile Chapter 6: Var And System Estimation Methods 6.1. Introduction 6.2 The Var Models 6.3 The Vector Error Correction Models 6.4 Special Notes And Comments Chapter 7: Instrumental Variables Models 7.1. Introduction 7.2 Should We Apply Instrumental Models? 7.3 Residual Analysis In Developing Instrumental Models 7.4 System Equation With Instrumental Variables 7.3 Selected Cases Based On The Us_Dpoc Data 7.6 Intrumentals Models With Time-Related-Effects 7.3 Intrumental Seemingly Causal Models 7.8 Multivariate Instrumental Models, Based On The Us_Dpoc 7.9. Further Extension Of The Instrumental Models Chapter 8: Arch Models 8.1 Introduction 8.2 The Options Of Arch Models 8.3 Simple Arch Models 8.4. Acrh Models With Exogenous Variables 8.5 Alternative Garch Variance Series Chapter 9: Additional Testing Hypotheses 9.1. Introduction 9.2. The Unit Root Tests 9.3 The Omitted Variables Tests 9.4. Redundant Variables Test (Rv-Test) 9.5 Non-Nested Test (Nn-Test) 9.6 The Ramsey'S Reset Test Chapter 10: Nonlinear Least Squares Models 10.1 Introduction 10.2 Classical Growth Models 10.3 Generalized Cobb-Douglas Models 10.3 Generalized Ces Models 10.4 Special Notes And Comments 10.5 Other Nls Models Chapter 11: Nonparametric Estimation Methods 11.1 What Is The Nonparamtric Data Analysis 11.2 Basic Moving Average Estimates 11.3 Measuring The Best Fit Model 11.4. Advanced Moving Average Models 11.5. Nonparametric Regression Based On Time Series 11.6 The Local Polynomial Kernel Fit Regression 11.7 Nonparametric Growth ModelsOutros livros adicionais, que poderiam ser muito similares com este livro:
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