Central Bank of Nigeria Library

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Regression Diagnostics: Identifying Influential Data and Sources of Collinearity/

By: Contributor(s): Material type: TextTextPublication details: New York: Wiley, c1980.Description: xv, 292 p.:illISBN:
  • 0471058564
Subject(s): DDC classification:
  • 519.5'36 BEL
LOC classification:
  • QA278.2 .B44
Online resources: Summary: This book deals with an important but relatively neglected aspect of regression theory: exploring the characteristics of a given data set for a particular regression application. Two diagnostic techniques are presented and examined. The first identifies influential subsets of data points, and the second identifies sources of collinearity, or ill conditioning, among the regression variates.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Monograph & others Monograph & others CBN HQ Library General Stacks Non-fiction 519.5'36 BEL (Browse shelf(Opens below)) c.1 Available 31008100138961

Includes indexes.

Bibliography: p. 277-284.

This book deals with an important but relatively neglected aspect of regression theory: exploring the characteristics of a given data set for a particular regression application. Two diagnostic techniques are presented and examined. The first identifies influential subsets of data points, and the second identifies sources of collinearity, or ill conditioning, among the regression variates.

ne 7/03/2018

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