View in EDS PDF Full Text

Applied Linear Models with SAS

Saved in:
Bibliographic Details
Title: Applied Linear Models with SAS
Description: 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 website, along with other ancillary material.
Authors: Daniel Zelterman
Resource Type: eBook.
Subjects: SAS (Computer program language), Linear models (Statistics), Regression analysis
Categories: MATHEMATICS / Probability & Statistics / Multivariate Analysis
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 324109
RelevancyScore: 1031
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1031.17456054688
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$324109$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$324109$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Applied Linear Models with SAS
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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 website, along with other ancillary material.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Daniel+Zelterman%22">Daniel Zelterman</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22SAS+%28Computer+program+language%29%22">SAS (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+models+%28Statistics%29%22">Linear models (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+Multivariate+Analysis%22">MATHEMATICS / Probability & Statistics / Multivariate Analysis</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=324109
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.535
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: SAS (Computer program language)
        Type: general
      – SubjectFull: Linear models (Statistics)
        Type: general
      – SubjectFull: Regression analysis
        Type: general
    Titles:
      – TitleFull: Applied Linear Models with SAS
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Daniel Zelterman
      – PersonEntity:
          Name:
            NameFull: Daniel Zelterman
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2010
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521761598
            – Type: isbn-electronic
              Value: 9780511776281
          Titles:
            – TitleFull: Applied Linear Models with SAS
              Type: main
ResultId 1