Amazon cover image
Image from Amazon.com

Applied linear regression / Sanford Weisberg.

By: Series: Wiley series in probability and statisticsPublication details: Hoboken, N.J. : Wiley-Interscience, ©2005.Edition: 3rd edDescription: 1 online resource (xvi, 310 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0471704083
  • 9780471704089
  • 0471663794
  • 9780471663799
  • 0471704091
  • 9780471704096
Subject(s): Genre/Form: Additional physical formats: Print version:: Applied linear regression.DDC classification:
  • 519.5/36 22
LOC classification:
  • QA278.2 .W44 2005eb
Online resources:
Contents:
Scatterplots and regression -- Simple linear regression -- Multiple regression -- Drawing conclusions -- Weights, lack of fit, and more -- Polynomials and factors -- Transformations -- Regression diagnostics : residuals -- Outliers and influence -- Variable selection -- Nonlinear regression -- Logistic regression.
In: Wiley e-booksSummary: Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references (pages 293-299) and indexes.

Scatterplots and regression -- Simple linear regression -- Multiple regression -- Drawing conclusions -- Weights, lack of fit, and more -- Polynomials and factors -- Transformations -- Regression diagnostics : residuals -- Outliers and influence -- Variable selection -- Nonlinear regression -- Logistic regression.

Applied Linear Regression, Third Edition is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression.

Print version record.

There are no comments on this title.

to post a comment.

Contact Us

Perpustakaan Tun Seri Lanang, Universiti Kebangsaan Malaysia
43600 Bangi, Selangor Darul Ehsan,Malaysia
+603-89213446 – Consultation Services
019-2045652 – Telegram/Whatsapp
Email: helpdeskptsl@ukm.edu.my

Copyright ©The National University of Malaysia Library