000			02006nam a22003257a 4500
001			sulb-eb0017278
003			BD-SySUS
005			20160405140643.0
008			100519s2010||||enk o ||1 0|eng|d
020			_a9780511778643 (ebook)
020			_z9780521761598 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aQA278.2 _b.Z45 2010
082	0	0	_a519.5/35 _222
100	1		_aZelterman, Daniel, _eauthor.
245	1	0	_aApplied Linear Models with SAS / _cDaniel Zelterman.
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (288 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aThis textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book's website, along with other ancillary material.
650		0	_aRegression analysis
650		0	_aLinear models (Statistics)
650		0	_aSAS (Computer program language)
776	0	8	_iPrint version: _z9780521761598
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9780511778643
942			_2Dewey Decimal Classification _ceBooks
999			_c38716 _d38716