A STEPWISE APPROACH FOR DETECTION OF INFLUENTIAL OBSERVATIONS

Abstract

Various measures have been proposed for detecting the influential observations in linear regression model but most of them require a large amount of computing time in practical problems. This article concerns an efficient computational method for computing the influential measure, C_<D_m>(X'(D_m)X(D_m), pS^2(D_m)), proposed by Cook and Weisberg (1982).

Journal

Journal of the Japanese Society of Computational Statistics   [List of Volumes]

Journal of the Japanese Society of Computational Statistics 6(1), 53-66, 1993-12  [Table of Contents]

Japanese Society of Computational Statistics

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Codes

  • NII Article ID (NAID) :
    110001235596
  • NII NACSIS-CAT ID (NCID) :
    AA10823693
  • Text Lang :
    ENG
  • ISSN :
    09152350
  • Databases :
    NII-ELS 

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