![]() 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 understoodĭescribes the theory behind the models in comprehensive appendices Offers guidance on how to develop and evaluate alternative empirical models, permitting the most appropriate to be selected without the need for computational formulaeĮxamines 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 Provides step-by-step directions on how to apply EViews software to time series data analysis The procedures introduced are easily extendible to cross-section data sets. 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. ![]() ![]() ![]() 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. Time Series Data Analysis Using EViews-ĭo you want to recognize the most suitable models for analysis of statistical data sets? ![]()
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