000			03237nam a2200541 a 4500
001			vtls000078756
003			MTX
006			m eo d
007			cr cn |||m|||a
008			160715s2012 nyu foab 001 0 eng d
020			_a9781606494066 (electronic bk.)
020			_z9781606494059 (pbk.)
024	7		_a10.4128/9781606494066 _2doi
035			_a(OCoLC)814468732
035			_a(CaBNVSL)swl00401514
039		9	_a201607151120 _bstaff _y201605041219 _zadmin
040			_aCaBNVSL _cCaBNVSL _dCaBNVSL
050		4	_aHB137 _b.N247 2012
082	0	4	_a519.536 _223
099			_aEbook
100	1		_aNaghshpour, Shahdad. _9114463
245	1	0	_aRegression for economics _h[electronic resource] / _cShahdad Naghshpour.
250			_a1st ed.
260			_a[New York, N.Y.] (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c2012.
300			_a1 electronic text (xix, 140 p.) : _bdigital file.
490	1		_aEconomics and finance collection, _x2163-7628
500			_aPart of: 2012 digital library.
504			_aIncludes bibliographical references (p. 135-136) and index.
505	0		_aForeword -- Acknowledgments -- Introduction -- 1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression in Excel -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary -- Notes -- References -- Index.
506			_aAccess restricted to authorized users and institutions.
520	3		_aThe concept of regression was introduced by Sir Francis Galton, but R.A. Fisher provided the statistical theory and application for it for the first time. The 20th century witnessed the spread of regression analysis into every scientific branch. Regression analysis is the most commonly used statistical method in the world. It is used in economics and many other fields. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation of the regression analysis. All the examples are from economics, and in almost all the examples the real data is used to show the applications of the method.
530			_aAlso available in print.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat reader.
588			_aTitle from PDF t.p. (viewed on October 23, 2012).
650		0	_aEconomics _xStatistical methods. _925830
650		0	_aRegression analysis. _988601
653			_aregression
653			_aAnalysis
653			_acausality
653			_ainference
776	0	8	_iPrint version: _z9781606494059
830		0	_a2012 digital library. _9114453
830		0	_aEconomics and finance collection. _x2163-7628 _9114464
856	4	0	_uhttp://portal.igpublish.com/iglibrary/search/BEPB0000143.html
942			_c10
999			_c75320 _d75320