Cross Section and Experimental Contributor(s): Agung, I. Gusti Ngurah (Author) |
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ISBN: 0470828420 ISBN-13: 9780470828427 Publisher: Wiley
Binding Type: Hardcover - See All Available Formats & Editions Published: March 2011 |
Additional Information |
BISAC Categories: - Computers | Mathematical & Statistical Software - Mathematics | Probability & Statistics - General |
Dewey: 005.55 |
LCCN: 2010041053 |
Physical Information: 1.4" H x 6.8" W x 9.8" L (2.45 lbs) 576 pages |
Features: Bibliography, Index, Table of Contents |
Review Citations: Reference and Research Bk News 06/01/2011 pg. 69 |
Descriptions, Reviews, Etc. |
Publisher 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. 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 ... Prof. Yohanes Eko Riyanto, Nanyang Technological University, Singapore This is superb and brilliant. Prof. Agung has skilfully transformed his best experiences into new knowledge ... creating a new way of understanding data analysis. Dr. 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. Cross Section and Experimental Data Analysis Using EViews
This user-friendly introduction to EViews is ideal for Advanced undergraduate and graduate students taking finance, econometrics, population, or public policy courses, as well as applied policy researchers. |
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