000 02428cam a2200349 a 4500
001 16032352
003 OSt
005 20230814130545.0
008 091222s2010 enka b 001 0 eng
010 _a 2009053487
015 _aGBB046092
_2bnb
016 7 _a015522265
_2Uk
020 _a9780521761598 (hc)
020 _a052176159X
035 _a(OCoLC)ocn499130012
040 _aDLC
_cDLC
_dYDXCP
_dC#P
_dUKM
_dBWX
_dCDX
_dDLC
050 0 0 _aQA278.2
_b.Z45 2010
082 0 0 _a519.5/35
_222
100 1 _aZelterman, Daniel.
245 1 0 _aApplied linear models with SAS /
_cDaniel Zelterman.
260 _aCambridge ;
_aNew York :
_bCambridge University Press,
_c2010.
300 _axiii, 273 p. :
_bill. ;
_c27 cm.
504 _aIncludes bibliographical references and index.
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 _a"This 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 Web site, along with other ancillary material"--Provided by publisher.
650 0 _aRegression analysis.
650 0 _aLinear models (Statistics)
650 0 _aSAS (Computer program language)
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2lcc
_cBK
_n0
999 _c2290
_d2289