000			03082nam a2200445 i 4500
001			10617487
003			CaPaEBR
005			20240726104649.0
008			121023s2012 nyu foab 001 0 eng d
020			_a9781606494066 _q((electronic)l(electronic)ctronic)l((electronic)l(electronic)ctronic)ctronic bk.
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050	0	4	_aHB137 _b.R447 2012
100	1		_aNaghshpour, Shahdad. _e1
245	1	0	_aRegression for economicsShahdad Naghshpour.
250			_afirst edition.
260			_a[New York, N.Y. (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c(c)2012.
300			_a1 electronic text (xix, 140 pages) : _bdigital file.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aEconomics and finance collection,
500			_aPart of: 2012 digital library.
504			_a1 (pages 135-136) and index.
505	0	0	_aForeword -- _tAcknowledgments -- _tIntroduction -- _t1. The concept of regression -- _t2. The method of least squares -- _t3. Simple linear regression in Excel -- _t4. Multiple regression -- _t5. Goodness of fit -- _t6. Regression coefficients -- _t7. Causality: correlation is not causality -- _t8. Qualitative variables in regression -- _t9. Pitfalls of regression analysis -- _tAppendix -- _tGlossary -- _tNotes -- _tReferences -- _tIndex.
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			_a2 _ub
530			_aAlso available in printing.
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.
650		0	_aRegression analysis.
653			_aregression
653			_aanalysis
653			_acausality
653			_ainference
856	4	1	_uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000143.html _zClick here to access this RESOURCE ONLINE | Login using your my.ciu username & password
942			_c1 _D _eBEP _hHB137 _m(c)2012 _QOB _R _x _8NFIC _dCynthia Snell
999			_c74203 _d74203
902			_a1 _bCynthia Snell _c1 _dCynthia Snell