Now showing items 1-5 of 5

    • A new approach to function-based hypothesis testing in location-scale families 

      Hall, Peter; Lombard, Fred; Potgieter, Cornelis J. (Taylor & Francis, 2013)
      Motivated by two applications in the mining industry, we introduce a new approach to testing the hypothesis that two-sampled distributions are simply location and scale changes of one another. The test, applicable to both ...
    • The probability weighted characteristic function and goodness-of-fit testing 

      Meintanis, Simos G.; Swanepoel, Jan; Allison, James (Elsevier, 2014)
      We introduce the notion of the probability weighted characteristic function (PWCF) as a generalization of the characteristic function. Some of the properties of the PWCF and of its empirical counterpart are studied and the ...
    • Testing for spherical symmetry via the empirical characteristic function 

      Henzea, N.; Meintanis, S.G.; Hlávka, Z. (Taylor & Francis, 2014)
      Kolmogorov–Smirnov-type and Cramér–von Mises-type goodness-of-fit tests are proposed for the null hypothesis that the distribution of a random vector X is spherically symmetric. The test statistics utilize the fact that X ...
    • Transformations to symmetry based on the probability weighted characteristic function 

      Meintanis, Simos G.; Stupfler, Gilles (Institute of Information Theory and Automation, 2015)
      We suggest a nonparametric version of the probability weighted empirical characteristic function (PWECF) introduced by Meintanis et al. [10] and use this PWECF in order to estimate the parameters of arbitrary transformations ...
    • Validation tests for semi-parametric models 

      Meintanis, Simos G.; Einbeck, Jochen (Taylor & Francis, 2015)
      Tests are proposed for validation of the hypothesis that a partial linear regression model adequately describes the structure of a given data set. The test statistics are formulated following the approach of Fourier-typ ...