MARC Record from Library of Congress

LEADER: 02209cam a2200301 a 4500
001 2009053487
003 DLC
005 20100810155708.0
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 00 $aQA278.2$b.Z45 2010
082 00 $a519.5/35$222
100 1 $aZelterman, Daniel.
245 10 $aApplied linear models with SAS /$cDaniel Zelterman.
260 $aCambridge ;$aNew York :$bCambridge University Press,$c2010.
300 $axiii, 273 p. :$bill. ;$c27 cm.
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.
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.
650 0 $aRegression analysis.
650 0 $aLinear models (Statistics)
650 0 $aSAS (Computer program language)