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Generalization of the geometric mean functional relationship

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  • Draper, Norman R.
  • Yang, Yonghong (Fred)

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  • Draper, Norman R. & Yang, Yonghong (Fred), 1997. "Generalization of the geometric mean functional relationship," Computational Statistics & Data Analysis, Elsevier, vol. 23(3), pages 355-372, January.
    • Handle: RePEc:eee:csdana:v:23:y:1997:i:3:p:355-372
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    Cited by:

    1. James Laird-Smith & Kevin Meyer & Kanshukan Rajaratnam, 2016. "A study of total beta specification through symmetric regression: the case of the Johannesburg Stock Exchange," Environment Systems and Decisions, Springer, vol. 36(2), pages 114-125, June.
    2. Stan Lipovetsky, 2023. "Statistical Modeling of Implicit Functional Relations," Stats, MDPI, vol. 6(3), pages 1-18, August.
    3. Shaoji Xu, 2014. "A Property of Geometric Mean Regression," The American Statistician, Taylor & Francis Journals, vol. 68(4), pages 277-281, November.
    4. Chris Tofallis, 2023. "Fitting an Equation to Data Impartially," Mathematics, MDPI, vol. 11(18), pages 1-14, September.
    5. Colignatus, Thomas, 2017. "Comparing votes and seats with a diagonal (dis-) proportionality measure, using the slope-diagonal deviation (SDD) with cosine, sine and sign," MPRA Paper 80965, University Library of Munich, Germany, revised 24 Aug 2017.
    6. Mark H Holmes & Michael Caiola, 2018. "Invariance properties for the error function used for multilinear regression," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-25, December.
    7. Colignatus, Thomas, 2017. "Comparing votes and seats with a diagonal (dis-) proportionality measure, using the slope-diagonal deviation (SDD) with cosine, sine and sign," MPRA Paper 80833, University Library of Munich, Germany, revised 17 Aug 2017.

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