1 option
Linear regression : a mathematical introduction / Damodar N. Gujarati.
- Format:
- Book
- Author/Creator:
- Gujarati, Damodar N., author.
- Series:
- Sage research methods.
- Quantitative applications in the social sciences
- Quantitative Applications in the Social Sciences
- Subjects (All):
- Regression analysis.
- Regression analysis--Data processing.
- Physical Description:
- 1 online resource (248 pages) : illustrations.
- Place of Publication:
- Los Angeles, CA : SAGE Publications, Inc, 2019.
- Summary:
- Damodar N. Gujarati's 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 doesn't 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.
- Notes:
- Includes bibliographical references and index.
- Description based on XML content.
- Other Format:
- Print version :
- ISBN:
- 9781071802571 (ebook)
- OCLC:
- 1136116392
- Access Restriction:
- Restricted for use by site license.
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