Time series data analysis using EViews

By:

Agung, I Gusti Ngurah

Material type: Text

TextSeries: Statistics in practicePublication details: U K John Wiley & Sons Pte Ltd., 2012Description: xx, 609p. 24 cm ; H BISBN:

978-0470823675

Subject(s):

Time-series analysis Econometric models Economic development--Mathematical models Mathematics

DDC classification:

519.55 AGU

Online resources:

Click here to access online

Summary: 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 extedible to cross-section 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."--Jacket.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	519.55 AGU (Browse shelf(Opens below))	Available		B2298

SRS Rs.7139/-

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 extedible to cross-section 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."--Jacket.

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