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Fuzzy statistics: regression and prediction

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Abstract

Our method of estimation of parameters in statistics uses a set of confidence intervals producing a triangular shaped fuzzy number for the estimator. In crisp linear regression we use this to obtain fuzzy number estimators for τ and λ. This is then employed in fuzzy prediction and fuzzy hypothesis testing about the values of τ and λ.

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References

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Authors and Affiliations

  1. Department of Mathematics, University of Alabama at Birmingham, Birmingham, Alabama, 35294, USA

    J. J. Buckley

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  1. J. J. Buckley
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Correspondence to J. J. Buckley.

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Buckley, J. Fuzzy statistics: regression and prediction. Soft Comput 9, 769–775 (2005). https://doi.org/10.1007/s00500-004-0453-9

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  • DOI: https://doi.org/10.1007/s00500-004-0453-9

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