Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable. Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers. Presents models that are all classroom tested Contains real-life data samples Contains over 350 equation specifications of various time series models Contains over 200 illustrative examples with special notes and comments Applicable for time series data of all quantitative studies Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis.
It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values. Author by: I. Gusti Ngurah Agung Languange: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 29 Total Download: 928 File Size: 53,9 Mb Description: A practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews. 'This book is a reflection of the vast experience and knowledge of the author.
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It is a useful reference for students and practitioners dealing with cross sectional data analysis. The strength of the book lies in its wealth of material and well structured guidelines.' Yohanes Eko Riyanto, Nanyang Technological University, Singapore 'This is superb and brilliant. Agung has skilfully transformed his best experiences into new knowledge. Creating a new way of understanding data analysis.'
I Putu Gede Ary Suta, The Ary Suta Center, Jakarta Basic theoretical concepts of statistics as well as sampling methods are often misinterpreted by students and less experienced researchers. This book addresses this issue by providing a hands-on practical guide to conducting data analysis using EViews combined with a variety of illustrative models (and their extensions). Models having numerically dependent variables based on a cross-section data set (such as univariate, multivariate and nonlinear models as well as non-parametric regressions) are concentrated on. It is shown that a wide variety of hypotheses can easily be tested using EViews. Author by: I.
Gusti Ngurah Agung Languange: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 9 Total Download: 658 File Size: 49,9 Mb Description: A comprehensive and accessible guide to panel data analysisusing EViews software This book explores the use of EViews software in creating paneldata analysis using appropriate empirical models and realdatasets. Guidance is given on developing alternativedescriptive statistical summaries for evaluation and providingpolicy analysis based on pool panel data. Various alternativemodels based on panel data are explored, including univariategeneral linear models, fixed effect models and causal models, andguidance on the advantages and disadvantages of each one isgiven.
Panel Data Analysis using EViews: ulstyle='line-height: 25px; margin-left: 15px; margin-top: 0px; font-family: Arial; font-size: 13px;' Provides step-by-step guidance on how to apply EViews softwareto panel data analysis using appropriate empirical models and realdatasets. Examines a variety of panel data models along with theauthor’s own empirical findings, demonstrating the advantagesand limitations of each model. Presents growth models, time-related effects models, andpolynomial models, in addition to the models which are commonlyapplied for panel data. Includes more than 250 examples divided into three groups ofmodels (stacked, unstacked, and structured panel data), togetherwith notes and comments. Provides guidance on which models not to use in a givenscenario, along with advice on viable alternatives. Explores recent new developments in panel data analysis An essential tool for advanced undergraduate or graduatestudents and applied researchers in finance, econometrics andpopulation studies.
Statisticians and data analysts involvedwith data collected over long time periods will also find this booka useful resource. Author by: I. Gusti Ngurah Agung Languange: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 68 Total Download: 234 File Size: 47,8 Mb Description: Do you want to recognize the most suitable models for analysisof statistical data sets? This book provides a hands-on practical guide to using the mostsuitable models for analysis of statistical data sets using EViews- an interactive Windows-based computer software program forsophisticated data analysis, regression, and forecasting - todefine and test statistical hypotheses.
Rich in examples and withan emphasis on how to develop acceptable statistical models, TimeSeries Data Analysis Using EViews is a perfect complement totheoretical books presenting statistical or econometric models fortime series data. The procedures introduced are easily extendibleto cross-section data sets.
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