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Regression analysis by example / Samprit Chatterjee, Bertram Price.

By: Chatterjee, Samprit, 1938-.
Contributor(s): Price, Bertram, 1939-.
Material type: materialTypeLabelBookSeries: Wiley series in probability and mathematical statisticsApplied probability and statistics.Publisher: New York : Wiley, c1991Edition: 2nd ed.Description: xvii, 278 p. : ill. ; 24 cm. + hbk.ISBN: 0471884790.Subject(s): Regression analysisDDC classification: 519.536
Contents:
Simple linear regression -- Detection and correction of model violations: simple linear regression -- Multiple regression model -- Qualitative variables as regressors -- Weighted least squares -- The problem of correlated errors -- Analysis of collinear data -- Biased estimation of regression coefficients -- Selection of variables in a regression equation.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.536 (Browse shelf(Opens below)) 1 Available 00019582
Total holds: 0

Enhanced descriptions from Syndetics:

A variety of ideas and methods of regression analysis are explored with the aid of realistic examples that highlight the analysis of data and include irregularities similar to those encountered in practice. Recent advances in regression diagnostics are covered with emphasis on plots such as component plus residual, added variable, sequence, along with index plots for leverage and function. The authors utilize standard and some not so standard summary statistics on the basis of their intuitive appeal to demonstrate concepts. The majority of analyses described are available in software packages on the market today.

"A Wiley-Interscience publication.".

Includes bibliographical references and index.

Simple linear regression -- Detection and correction of model violations: simple linear regression -- Multiple regression model -- Qualitative variables as regressors -- Weighted least squares -- The problem of correlated errors -- Analysis of collinear data -- Biased estimation of regression coefficients -- Selection of variables in a regression equation.

Table of contents provided by Syndetics

  • Preface
  • 1 Introduction
  • 2 Simple Linear regression
  • 3 Multiple Linear Regression
  • 4 Regression Diagnostics: Detection of Model Violations
  • 5 Qualitative Variables as Predictors
  • 6 Transformation of Variables
  • 7 Weighted Least Squar45es
  • 8 The Problem of Correlated Errors
  • 9 Analysis of Collinear Data
  • 10 Biased Estimation of Regression Coefficients
  • 11 Variable Selection Procedures
  • 12 Logistic Regression
  • 13 Further Topics
  • Appendix A Statistical Tables
  • References
  • Index