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Essentials of econometrics / Damodar Gujarati.

By: Material type: TextTextPublication details: [S.l.] : McGraw Hill Higher Education, 2005.Edition: 3rd International edDescription: 544 p. ; 24 cmISBN:
  • 0071244484
  • 9780071244480
Subject(s): Online resources: Summary: This text provides a simple and straightforward introduction to econometrics for the beginner. The author's intent is to provide the student with a "user friendly," non-intimidating introduction to econometric theory and techniques. The book motivates students to understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. The audience is undergraduate economics, agricultural economics, and business administration majors, MBA students and others in the social and behavioral sciences where econometric techniques, especially the techniques of linear regression analysis, are used.
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Holdings
Item type Current library Call number Copy number Status Barcode
Books The MUA Library South C campus - Open Collection HB 172 .G85 2006 (Browse shelf(Opens below)) 1 Available 2008-1653
Books The MUA Library South C campus - Open Collection HB 172 .G85 2006 (Browse shelf(Opens below)) 2 Available 2008-1691
Books The MUA Library South C campus - Open Collection HB 172 .G85 2006 (Browse shelf(Opens below)) 3 Available 2008-1654
Browsing The MUA Library South C campus shelves, Shelving location: - Open Collection Close shelf browser (Hides shelf browser)
HB 172 .G64 2000 Furgerson & Gould's microeconomic theory. HB 172 .G65 2003 Basic econometrics / HB 172 .G85 2006 Essentials of econometrics / HB 172 .G85 2006 Essentials of econometrics / HB 172 .G85 2006 Essentials of econometrics / HB 172 .G85 2007 Basic econometrics. HB 172 .H83 2011 Microeconomics /

Paperback.

This text provides a simple and straightforward introduction to econometrics for the beginner. The author's intent is to provide the student with a "user friendly," non-intimidating introduction to econometric theory and techniques. The book motivates students to understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. The audience is undergraduate economics, agricultural economics, and business administration majors, MBA students and others in the social and behavioral sciences where econometric techniques, especially the techniques of linear regression analysis, are used.

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