Regression parameters estimation of random-fuzzy linear regression model and its application

  • Zhigang Zhang
  • , Peng Wang
  • , Angui Li
  • , Meifeng Cai
  • , Hongying Zhang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The regression parameters estimation exprssions of a random-fuzzy linear regression model are deduced. It is proved that they are an unbiased estimator. The formulae for calculating the numerical characteristics of regression parameters estimation and the correlation coefficients of the regression equation are derived. Based on the experimental data of triaxial compression tests, the calculated results are more realistic and reasonable compared with the linear regression method.

Original languageEnglish
Pages (from-to)326-329
Number of pages4
JournalBeijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing
Volume26
Issue number3
StatePublished - Jun 2004
Externally publishedYes

Keywords

  • Numerical characteristic
  • Parameters estimation
  • Random-fuzzy linear regression model

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