Search Results - "Viertl, Reinhard"

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  1. 1

    Parameter and reliability estimation of three-parameter lifetime distributions for fuzzy life times by Shafiq, Muhammad, Atif, Muhammad, Viertl, Reinhard

    Published in Advances in mechanical engineering (01-08-2017)
    “…Besides errors and stochastic variation, the observed data always have more or less imprecision. In contrast, classical statistical procedures are based on…”
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    Journal Article
  2. 2

    Statistik und die Kunst des Zählens by Viertl, Reinhard

    “…Der vielzitierte Beginn des dritten Jahrtausends und die damit verbundene Unkenntnisveranlassen mich, diese Bemerkung zu schreiben…”
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    Journal Article
  3. 3

    On reliability estimation based on fuzzy lifetime data by Viertl, Reinhard

    “…Real lifetime data are never precise numbers but more or less non-precise, also called fuzzy. This kind of imprecision is connected with all measurement…”
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    Journal Article Conference Proceeding
  4. 4

    Univariate statistical analysis with fuzzy data by Viertl, Reinhard

    Published in Computational statistics & data analysis (01-11-2006)
    “…Statistical data are frequently not precise numbers but more or less non-precise, also called fuzzy. Measurements of continuous variables are always fuzzy to a…”
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    Journal Article
  5. 5

    On the estimation of parameters, survival functions, and hazard rates based on fuzzy life time data by Shafiq, Muhammad, Viertl, Reinhard

    “…Life time data analysis is regarded as one of the significant out-shoots of statistics. Classical statistical techniques reckon life time observations as…”
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    Journal Article
  6. 6

    Measurement of Continuous Quantities and their Statistical Evaluation by Viertl, Reinhard Karl

    “…Measurement results of continuous quantities are always more or less imprecise. This imprecision is different from errors. The most suitable mathematical model…”
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    Journal Article
  7. 7

    A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning by Arefi, Mohsen, Viertl, Reinhard, Taheri, S. Mahmoud

    Published in Soft computing (Berlin, Germany) (2022)
    “…A Bayesian approach in a possibilistic context, when the available data for the underlying statistical model are fuzzy, is developed. The problem of point…”
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    Journal Article
  8. 8

    Beyond precision: accelerated life testing for fuzzy life time data by Shafiq, Muhammad, Atif, Muhammad, Viertl, Reinhard

    Published in Soft computing (Berlin, Germany) (01-11-2018)
    “…Reliability analysis comprises statistical analysis techniques that make inferences based on life time data. Swift progress has been observed in life time data…”
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    Journal Article
  9. 9

    Widmung: O. Univ.-Prof. Dipl.-Ing. Dr. techn. Rudolf Dutter als Wissenschaftler, Kollege und Persönlichkeit by Viertl, Reinhard

    “…Die unermüdliche Arbeitskraft und der Einsatz für das Fach Statistik von Herrn Prof.Dutter sowie seine menschlichen Ansichten haben ihn zu einem geschätzten…”
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    Journal Article
  10. 10

    Generalized Likelihood Ratio Test and Cox's F‐Test Based on Fuzzy Lifetime Data by Shafiq, Muhammad, Atif, Muhammad, Viertl, Reinhard

    “…Recent developments in measurement science show that continuous measurements are no more precise numbers but more or less imprecise and are called fuzzy…”
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    Journal Article
  11. 11

    Fuzzy models for precision measurements by Viertl, Reinhard

    Published in Mathematics and computers in simulation (15-12-2008)
    “…Engineering and scientific measurement results of continuous quantities are not precise numbers but more or less non-precise. Therefore so-called non-precise…”
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    Journal Article
  12. 12
  13. 13

    A fuzzy Bayesian approach to flood frequency estimation with imprecise historical information by Salinas, José Luis, Kiss, Andrea, Viglione, Alberto, Viertl, Reinhard, Blöschl, Günter

    Published in Water resources research (01-09-2016)
    “…This paper presents a novel framework that links imprecision (through a fuzzy approach) and stochastic uncertainty (through a Bayesian approach) in estimating…”
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    Journal Article
  14. 14

    Testing Statistical Hypotheses Based on Fuzzy Confidence Intervals by Chachi, Jalal, Taheri, Seyed Mahmoud, Viertl, Reinhard

    “…A fuzzy test for testing statistical hypotheses about an imprecise parameter is proposed for the case when the available data are also imprecise. The proposed…”
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    Journal Article
  15. 15

    Fuzzy Bayesian inference by Viertl, Reinhard, Sunanta, Owat

    Published in Metron (Rome) (01-11-2013)
    “…In standard Bayesian inference, a-priori distributions are assumed to be classical probability distributions. This is a topic of critical discussions because,…”
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    Journal Article
  16. 16

    A fuzzy B ayesian approach to flood frequency estimation with imprecise historical information by Salinas, José Luis, Kiss, Andrea, Viglione, Alberto, Viertl, Reinhard, Blöschl, Günter

    Published in Water resources research (01-09-2016)
    “…This paper presents a novel framework that links imprecision (through a fuzzy approach) and stochastic uncertainty (through a Bayesian approach) in estimating…”
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    Journal Article
  17. 17

    Minimax test for fuzzy hypotheses by Parchami, Abbas, Taheri, S. Mahmoud, Viertl, Reinhard, Mashinchi, Mashaallah

    Published in Statistical papers (Berlin, Germany) (01-12-2018)
    “…In hypotheses testing, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which the hypotheses of interest are…”
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    Journal Article
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    Fuzzy density estimation by Arefi, Mohsen, Viertl, Reinhard, Taheri, S. Mahmoud

    Published in Metrika (2012)
    “…A new approach to density estimation with fuzzy random variables (FRV) is developed. In this approach, three methods (histogram, empirical c.d.f., and kernel…”
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    Journal Article
  20. 20

    On the Future of Data Analysis by Reinhard Viertl

    “…This contribution is based on a discussion on the future of data analysis which took place on the last day of the symposium IDA 2000. By different discussants…”
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    Journal Article