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A01=Damodar N. Gujarati
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Author_Damodar N. Gujarati
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Linear Regression: A Mathematical Introduction

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English

By (author): Damodar N. Gujarati

Damodar N. Gujaratis Linear Regression: A Mathematical Introduction presents linear regression theory in a rigorous, but approachable manner that is accessible to students in all social sciences. This concise title goes step-by-step through the intricacies, and theory and practice of regression analysis. The technical discussion is provided in a clear style that doesnt overwhelm the reader with abstract mathematics. End-of-chapter exercises test mastery of the content and advanced discussion of some of the topics is offered in the appendices.

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A01=Damodar N. GujaratiAge Group_UncategorizedAuthor_Damodar N. Gujaratiautomatic-updateCategory1=Non-FictionCategory=JHBCCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=ActiveSN=Quantitative Applications in the Social Sciencessoftlaunch
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Product Details
  • Weight: 330g
  • Dimensions: 139 x 215mm
  • Publication Date: 18 Oct 2018
  • Publisher: SAGE Publications Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781544336572

About Damodar N. Gujarati

Damodar Gujarati (M.B.A. and Ph.D. both from University of Chicago) is Professor Emeritus of economics at the United States Military Academy at West Point. Prior to that he taught for 25 years at the Baruch College of the City University of New York (CUNY) and at the Graduate Center of CUNY. He is the author of Government and Business (McGraw Hill 1984) the bestselling textbook Basic Econometrics (5th edition 2009 with co-author Dawn Porter) as well as Essentials of Econometrics (4th edition 2009 also with co-author Dawn Porter) both published by McGraw-Hill and also Econometrics by Example (2nd edition 2014 Palgrave-Macmillan). His experience spans business consulting and academia.  

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