000 02450nam a2200361 i 4500
001 CR9780511778643
003 UkCbUP
005 20240807191333.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 100519s2010||||enk o ||1 0|eng|d
020 _a9780511778643 (ebook)
020 _z9780521761598 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
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 (xiii, 273 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 05 Oct 2015).
505 0 _aIntroduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables.
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 _uhttps://doi.org/10.1017/CBO9780511778643
942 _2ddc
_cEB
999 _c9513
_d9513