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      A Little Life

      Hanya Yanagihara 9780385539258

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25 Remote Warehouse Economics- General

This title in other editions

Time Series Techniques for Economists

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Time Series Techniques for Economists Cover

 

Synopses & Reviews

Publisher Comments:

The application of time series techniques in economics has become increasingly important, both for forecasting purposes and in the empirical analysis of time series in general. This book brings together recent research at the frontiers of the subject and analyzes the areas of time series analysis of most importance to applied economics. The author discusses three basic areas of time series analysis: univariate models, multivariate models, and nonlinear models. Particular emphasis is placed on applications of the theory to important areas of applied economics and on the computer software and programs needed to implement the techniques. It is an up-to-date text, extending the basic techniques of analysis to cover the development of methods that can be used to analyze a wide range of economic problems.

Synopsis:

This book brings together recent research in the application of time series techniques and analyses the areas of most importance to applied economics.

Synopsis:

This book brings together recent research in the application of time series techniques and analyses the areas of most importance to applied economics.

Table of Contents

Preface; 1. Introduction; Part I. Exploratory Analysis of Economic Time Series: 2. The graphical display of time series; 3. Summarising time series; 4. Transforming and smoothing time series; Part II. The Modelling of Univariate Economic Time Series: 5. Stationary stochastic time series models; 6. Modelling nonstationary processes; 7. Forecasting using ARIMA models; 8. ARIMA model building; 9. Exponential smoothing and its relationship to ARIMA modelling; 10. Modelling seasonal time series; 11. Further topics in univariate time series modelling; Part III. The Modelling of Multivariate Economic Time Series: 12. Intervention analysis and the detection of outliers; 13. Transfer function-noise models; 13. Transfer function-noise models; 14. Multiple time series modelling; Part IV. Nonlinear Time Series Models: 15. Conditional variance models and related topics; 16. State dependent models; References; Index.

Product Details

ISBN:
9780521405744
Author:
Mills, Terence
Author:
Mills
Author:
Mills, Terence C.
Publisher:
Cambridge University Press
Location:
Cambridge
Subject:
General
Subject:
Statistics
Subject:
Economics
Subject:
Econometrics
Subject:
Economics, mathematical
Subject:
Time-series analysis
Subject:
Economics - General
Edition Description:
Trade paper
Publication Date:
19910631
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Pages:
388
Dimensions:
9.10x6.28x.94 in. 1.25 lbs.

Related Subjects

History and Social Science » Crime » General
History and Social Science » Economics » General
History and Social Science » Linguistics » Specific Languages and Groups
History and Social Science » Sociology » General
Humanities » Philosophy » General
Reference » Science Reference » General
Reference » Science Reference » Technology
Reference » Words Phrases and Language
Science and Mathematics » Mathematics » Algebra » General
Science and Mathematics » Mathematics » Econometrics
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Time Series Techniques for Economists New Trade Paper
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Product details 388 pages Cambridge University Press - English 9780521405744 Reviews:
"Synopsis" by , This book brings together recent research in the application of time series techniques and analyses the areas of most importance to applied economics.
"Synopsis" by , This book brings together recent research in the application of time series techniques and analyses the areas of most importance to applied economics.
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