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Yazar "Gungor, Mehmet" seçeneğine göre listele

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    COVID-19 ASPECT OF POVERTY: CHILDREN LIVING AND WORKING ON THE STREET
    (Emerald Group Publishing Ltd, 2021) Gungor, Mehmet
    There is a Turkish proverb commonly used for gratitude: 'nothing so bad but it might have been worse'. Actually, how worse the situation can get for the children living and working on the street as an image of visible poverty of the cities. The children who settle in the streets, who live in the streets, who work or force to work in the streets are the ones affected by the negativeness that COVID-19 created. Their living conditions became harder and crueller. Children who live and work on the streets have not only had socio-economic problems but also educational medical problems, etc. It is a social truth that these children are the most affected disadvantaged group in the battle of pandemic. In this context, especially before and after pandemic, how the life is affected and the change that it brings is very remarkable. However, the detrimental effect on the negativity in societal terms is inevitable. In this study, children living, working, and being forced to work in the streets are defined cognitively, their status quo in the society, their form of life, their educational, medical, criminal, and family cultural relationships are described; evaluation of pandemic process's influences on 'the new normal', the social change and transformation in regarding to human and child rights are discussed.
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    Identities leading to joint distributions of order statistics of innid variables from a truncated distribution
    (Academic Publication Council, 2012) Gungor, Mehmet
    In this study, the joint distributions of order statistics from innid variables from a truncated distribution is expressed in terms of the specialized identities. Then, some results connecting distributions of order statistics from innid variables from a truncated distribution to that of order statistics from iid variables from a truncated distribution are given.
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    . IMPROVED PENALTY STRATEGIES in LINEAR REGRESSION MODELS
    (Inst Nacional Estatistica-Ine, 2017) Yuzbasi, Bahadir; Ahmed, S. Ejaz; Gungor, Mehmet
    We suggest pretest and shrinkage ridge estimation strategies for linear regression models. We investigate the asymptotic properties of suggested estimators. Further, a Monte Carlo simulation study is conducted to assess the relative performance of the listed estimators. Also, we numerically compare their performance with Lasso, adaptive Lasso and SCAD strategies. Finally, a real data example is presented to illustrate the usefulness of the suggested methods.
  • Küçük Resim Yok
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    On Order Statistics from Nonidentical Discrete Random Variables
    (De Gruyter Open Ltd, 2016) Yuzbasi, Bahadir; Bulut, Yunus; Gungor, Mehmet
    In this study, pf and df of single order statistic of nonidentical discrete random variables are obtained. These functions are also expressed in integral form. Finally, pf and df of extreme of order statistics of random variables for the nonidentical discrete case are given.

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