Regression Analysis for Social Sciences Ebook

Publication: Academic Press
 
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Language: English
Publication Date: August 1998
File Size: 14273 Kbytes

Restrictions set by Publisher:
- Text-to-speech feature not available.
- Printing is permitted.
- You can copy text from file.
- Free application Adobe Digital Editions, Aldiko reader, or Bluefire reader required .
$132.00
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Hi, sorry for the interruption!
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    - You can copy text from file.
  • Refund Policy
    Refunds are not allowed after the ebook is opened so please open the ebook directly on your intended device. Refund requests should be recieved within 7 days after download is made available. Of course, if you get an incorrect ebook ( different from what is mentioned in the title) or if the ebook doesn't open on the initial device, then we'll assist with fixing the issue or get you a refund if a timely fix isn't available.
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Language: English
Publication Date: August 1998
File Size: 7493 Kbytes

Restrictions set by Publisher:
- Text-to-speech feature not available.
- Printing is permitted.
- You can copy text from file.
- Free application Adobe Digital Editions, Aldiko reader, or Bluefire reader required .
$132.00
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ISBN: 9780080550824   Should I buy this Ebook?   Write a Review

Description

Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.

Key Features

  • Presents accessible methods of regression analysis
  • Includes a broad spectrum of methods
  • Techniques are explained step-by-step
  • Provides sample command and result files for SYSTAT

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Regression Analysis for Social Sciences