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Uncertain hypothesis test with application to uncertain regression analysis

Fuzzy Optimization and Decision Making volume 21, pages 157–174 (2022)Cite this article

Abstract

This paper first establishes uncertain hypothesis test as a mathematical tool that uses uncertainty theory to help people rationally judge whether some hypotheses are correct or not, according to observed data. As an application, uncertain hypothesis test is employed in uncertain regression analysis to test whether the estimated disturbance term and the fitted regression model are appropriate. In order to illustrate the test process, some numerical examples are documented.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China Grant No.61873329 and Grant No.12026225.

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Authors and Affiliations

  1. Department of Mathematical Sciences, Tsinghua University, Beijing, 100084, China

    Tingqing Ye & Baoding Liu

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  1. Tingqing Ye
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  2. Baoding Liu
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Correspondence to Baoding Liu.

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Ye, T., Liu, B. Uncertain hypothesis test with application to uncertain regression analysis. Fuzzy Optim Decis Making 21, 157–174 (2022). https://doi.org/10.1007/s10700-021-09365-w

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  • DOI: https://doi.org/10.1007/s10700-021-09365-w

Keywords

  • Uncertainty theory
  • Uncertain statistics
  • Hypothesis test
  • Regression analysis