000 | 03551nam a2200661 i 4500 | ||
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001 | 11206360 | ||
003 | CaPaEBR | ||
005 | 20241023114845.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 160512s2016 nyu foab 001 0 eng d | ||
020 |
_a9781631574443 _qe-book |
||
035 | _a(EBC)4518807 | ||
035 | _a(OCoLC)949862466 | ||
035 | _a(CaBNVSL)swl00406484 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 | _aHB137 | |
100 | 1 |
_aNaghshpour, Shahdad., _eauthor. |
|
245 | 1 | 0 |
_aRegression for economics / _cShahdad Naghshpour. |
250 | _aSecond edition. | ||
264 | 1 |
_aNew York, New York (222 East 46th Street, New York, NY 10017) : _bBusiness Expert Press, _c[(c)2016.] |
|
300 | _a1 online resource (xix, 166 pages) | ||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_adata file _2rda |
||
490 | 1 |
_aEconomics collection, _x2163-7628 |
|
504 | _aIncludes bibliographical references (page [161.) and index. | ||
505 | 0 |
_a1. The concept of regression -- _t2. The method of least squares -- _t3. Simple linear regression using software packages -- _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 of terms -- _tNotes -- _tReferences -- _tIndex. |
|
506 | _aAccess restricted to authorized users and institutions. | ||
520 | 3 | _aThe concept of regression was introduced by Legendre in 1805 and advanced by Gauss in 1809. The term was popularized after Galton's 1886 article. Contribution of R. A. Fisher in the early 20th century was instrumental to the spread of the method to every scientific branch. Regression analysis, used in economics and many other fields, is now the most commonly used statistical method. 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 the mastery of sophisticated mathematical concepts. This book provides the foundation of regression analysis in a way that is easy to comprehend. All the examples are from economics and in almost all the examples real data are used to show the application of the method. | |
530 |
_a2 _ub |
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530 | _aAlso available in printing. | ||
538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat reader. | ||
588 | _aTitle from PDF title page (viewed on May 12, 2016). | ||
650 | 0 |
_aEconomics _xStatistical methods. |
|
650 | 0 | _aRegression analysis. | |
653 | _aanalysis | ||
653 | _acausality | ||
653 | _aceteris paribus | ||
653 | _acoefficient of determination | ||
653 | _acontrol variables | ||
653 | _aerror | ||
653 | _agoodness of fit | ||
653 | _ainference | ||
653 | _amisspecification | ||
653 | _amodel | ||
653 | _aproxy variables | ||
653 | _aregression | ||
653 | _aspurious regression | ||
653 | _aStata | ||
655 | 0 | _a[genre] | |
776 | 0 | 8 |
_iPrint version: _z9781631574436 |
830 | 0 |
_aEconomics collection. _x2163-7628 |
|
856 | 4 | 0 | _uhttps://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000489.html |
942 |
_2lcc _bCIU _cOB _eBEP _QOL _zBEP11206360 |
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999 |
_c74202 _d74202 |
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902 |
_c1 _dCynthia Snell |