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Browsing by Subject "Hypothesis Testing"

Browsing by Subject "Hypothesis Testing"

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  • A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations 
    Dener Akkaya, Ayşen; Türker Bayrak, Özlem (Springer, 2018)
    In recent years, it is seen in many time series applications that innovations are non-normal. In this situation, it is known that the least squares (LS) estimators are neither efficient nor robust and maximum likelihood ...
  • A New Estimation Technique for AR(1) Model with Long-Tailed Symmetric Innovations 
    Dener Akkaya, Ayşen; Türker Bayrak, Özlem (2017)
    In recent years, it is seen in many time series applications that innovations are non-normal. In this situation, it is known that the least squares (LS) estimators are neither efficient nor robust and maximum likelihood ...
  • Graph-based visualization of stochastic dominance in statistical comparisons 
    Ertek, Gürdal; Tokdemir, Gül; Hammoudi, Mohamad Mustafa (2019)
    In this paper, a graph visualization scheme and methodology is proposed for representing, understanding, and interpreting the statistical comparison of means and the resulting stochastic dominance. The practicality and ...
  • Localization of Semantic Category Classification in FMRı Images 
    Alkan, Sarper; Yarman-Vural, Fatos T. (IEEE, 2014)
    In this study, we provide a methodology to localize the brain regions that contribute to semantic category classification. For this purpose we first cluster the data using spectral clustering. Then we extract local features ...
  • Multiple linear regression model under nonnormality 
    Islam, M. Q.; Tiku, M. L. (2004-10)
    We consider multiple linear regression models under nonnormality. We derive modified maximum likelihood estimators (MMLEs) of the parameters and show that they are efficient and robust. We show that the least squares ...
  • Multiple linear regression model under nonnormality 
    Islam, M. Qamarul; Tiku, Moti L. (2004-10)
    We consider multiple linear regression models under nonnormality. We derive modified maximum likelihood estimators (MMLEs) of the parameters and show that they are efficient and robust. We show that the least squares ...
  • Nonnormal regression. II. Symmetric distributions 
    Tiku, M. L.; Islam, M. Qamarul; Selçuk, A. S. (Taylor&Francis INC, 2001)
    Salient features of a family of short-tailed symmetric distributions, introduced recently by Tiku and Vaughan [1], are enunciated. Assuming the error distribution to be one of this family, the methodology of modified ...
  • Regression analysis with a dtochastic design variable 
    Sazak, Hakan; Tiku, Moti L.; S., Hakan; Islam, M. Qamarul (In Statistical Inst, 2006-04)
    In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such ...