{"product_id":"9780470828458","title":"Cross Section and Experimental Data Analysis Using EViews","description":"\u003cb\u003eA practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViews.\u003c\/b\u003e \u003cp\u003e\"\u003ci\u003eThis 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\u003c\/i\u003e ...\" \u003cb\u003eProf.\u003c\/b\u003e \u003cb\u003eYohanes Eko Riyanto\u003c\/b\u003e, \u003ci\u003eNanyang Technological University, Singapore\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\"\u003ci\u003eThis is superb and brilliant. Prof. Agung has skilfully transformed his best experiences into new knowledge ... creating a new way of understanding data analysis\u003c\/i\u003e.\" \u003cb\u003eDr. I Putu Gede Ary Suta\u003c\/b\u003e, \u003ci\u003eThe Ary Suta Center, Jakarta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eBasic 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eCross Section and Experimental Data Analysis Using EViews\u003c\/i\u003e:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides step-by-step directions on how to apply EViews to cross section data analysis - from multivariate analysis and nonlinear models to non-parametric regression\u003c\/li\u003e \u003cli\u003ePresents a method to test for all possible hypotheses based on each model\u003c\/li\u003e \u003cli\u003eProposes a new method for data analysis based on a multifactorial design model\u003c\/li\u003e \u003cli\u003eDemonstrates that statistical summaries in the form of tabulations are invaluable inputs for strategic decision making\u003c\/li\u003e \u003cli\u003eContains 200 examples with special notes and comments based on the author’s own empirical findings as well as over 400 illustrative outputs of regressions from EViews\u003c\/li\u003e \u003cli\u003eTechniques are illustrated through practical examples from real situations\u003c\/li\u003e \u003cli\u003eComes with supplementary material, including work-files containing selected equation and system specifications that have been applied in the book\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47121845223664,"sku":"9780470828458","price":145.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780470828458_p0.jpg?v=1769917573","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780470828458","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}