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New: Time Series Data Analysis Using Eviews by Agung 1st INTL ED

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OngeveerEUR 31,35
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Laatst bijgewerkt op 28 mrt 2024 18:38:39 CETAlle herzieningen bekijkenAlle herzieningen bekijken

Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Modified Item
No
Printed in .
BLACK & WHITE Edition
Returns:
30 days
Binding:
SOFTCOVER / Paperback
Language:
English
If Order Expedited Shipping:
FAST 3 to 4 business day Service
Contents:
SAME as in US edition
Packing:
Shrink Packed Bubble Wrapped
Actual ISBN :
9788126555222
Edition
1
ISBN
9780470823675
Subject Area
Mathematics
Publication Name
Time Series Data Analysis Using Eviews
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.1 in
Subject
Transformations, Probability & Statistics / Time Series
Publication Year
2008
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.5 in
Author
I. Gusti Ngurah Agung
Item Weight
36.1 Oz
Item Width
6.2 in
Number of Pages
632 Pages

Over dit product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470823674
ISBN-13
9780470823675
eBay Product ID (ePID)
66832525

Product Key Features

Number of Pages
632 Pages
Publication Name
Time Series Data Analysis Using Eviews
Language
English
Publication Year
2008
Subject
Transformations, Probability & Statistics / Time Series
Type
Textbook
Subject Area
Mathematics
Author
I. Gusti Ngurah Agung
Format
Hardcover

Dimensions

Item Height
1.5 in
Item Weight
36.1 Oz
Item Length
9.1 in
Item Width
6.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2008-035077
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5/5
Synopsis
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 statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical or econometric models for time series data. The procedures introduced are easily extendible to cross-section data sets. The author: Provides step-by-step directions on how to apply EViews software to time series data analysis Offers guidance on how to develop and evaluate alternative empirical models, permitting the most appropriate to be selected without the need for computational formulae Examines a variety of times series models, including continuous growth, discontinuous growth, seemingly causal, regression, ARCH, and GARCH as well as a general form of nonlinear time series and nonparametric models Gives over 250 illustrative examples and notes based on the authors own empirical findings, allowing the advantages and limitations of each model to be understood Describes the theory behind the models in comprehensive appendices Provides supplementary information and data sets An essential tool for advanced undergraduate and graduate students taking finance or econometrics courses. Statistics, life sciences, and social science students, as well as applied researchers, will also find this book an invaluable resource., This book is a practical guide to selecting and applying the most appropriate time series model and analysis of data sets using EViews., 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 statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical or econometric models for time series data. The procedures introduced are easily extendible to cross-section data sets. The author: Provides step-by-step directions on how to apply EViews software to time series data analysis Offers guidance on how to develop and evaluate alternative empirical models, permitting the most appropriate to be selected without the need for computational formulae Examines a variety of times series models, including continuous growth, discontinuous growth, seemingly causal, regression, ARCH, and GARCH as well as a general form of nonlinear time series and nonparametric models Gives over 250 illustrative examples and notes based on the author's own empirical findings, allowing the advantages and limitations of each model to be understood Describes the theory behind the models in comprehensive appendices Provides supplementary information and data sets An essential tool for advanced undergraduate and graduate students taking finance or econometrics courses. Statistics, life sciences, and social science students, as well as applied researchers, will also find this book an invaluable resource.
LC Classification Number
QA280.A265 2009

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