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homoscedasticity (usually uncountable, plural homoscedasticities)

  1. (statistics) A property of a set of random variables such that each variable has the same finite variance.
    • 1989, AW Storey, “The freshwater mussel, Westralunio carteri Iredale, as a biological monitor of organochlorine pesticides”, in Australian Journal of Marine and Freshwater Research, volume 40, number 6, page 587:
      Before analysis, homoscedasticities of sample variances were assessed by Cochran's C and Bartlett's Box tests.
    • 2010, Min Gyo Koo, Island Disputes and Maritime Regime Building in East Asia[1], footnote, page 46:
      Unlike OLS[Ordinary Least Squares] regression, logistic regression does not assume linearity of relationship between dependent and independent variables; does not require normally distributed variables; does not assume homoscedasticity; and in general has less stringent requirements.
    • 2010, Francesca Greselin, Salvatore Ingrassia, “Weakly Homoscedastic Constraints for Mixtures of t-Distributions”, in Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch, editors, Advances in Data Analysis, Data Handling and Business Intelligence[2], Springer, page 225:
      Preliminarily, the weak homoscedasticity of the two classes has been tested: [] .
    • 2013, Chandan Mukherjee, Howard White, Marc Wuyts, Econometrics and Data Analysis for Developing Countries[3], page 264:
      Thus, Glejser's test also rejects the hypothesis of homoscedasticity.


Related terms[edit]



  1. ^ homoscedasticity”, in Collins English Dictionary.
  2. ^ homoscedasticity”, in Merriam-Webster Online Dictionary, Springfield, Mass.: Merriam-Webster, 1996–present.