Relevant bibliographies by topics / Generalized Gumbel distributions

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers
  4. Reports

Academic literature on the topic 'Generalized Gumbel distributions'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Generalized Gumbel distributions"

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Asadi, Majid, Somayeh Ashrafi, Nader Ebrahimi, and Ehsan S. Soofi. "MODELS BASED ON PARTIAL INFORMATION ABOUT SURVIVAL AND HAZARD GRADIENT." Probability in the Engineering and Informational Sciences 24, no. 4 (2010): 561–84. http://dx.doi.org/10.1017/s0269964810000185.

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This article develops information optimal models for the joint distribution based on partial information about the survival function or hazard gradient in terms of inequalities. In the class of all distributions that satisfy the partial information, the optimal model is characterized by well-known information criteria. General results relate these information criteria with the upper orthant and the hazard gradient orderings. Applications include information characterizations of the bivariate Farlie–Gumbel–Morgenstern, bivariate Gumbel, and bivariate generalized Gumbel, for which no other infor
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Okorie, I. E., A. C. Akpanta, and J. Ohakwe. "The Exponentiated Gumbel Type-2 Distribution: Properties and Application." International Journal of Mathematics and Mathematical Sciences 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/5898356.

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We introduce a generalized version of the standard Gumble type-2 distribution. The new lifetime distribution is called the Exponentiated Gumbel (EG) type-2 distribution. The EG type-2 distribution has three nested submodels, namely, the Gumbel type-2 distribution, the Exponentiated Fréchet (EF) distribution, and the Fréchet distribution. Some statistical and reliability properties of the new distribution were given and the method of maximum likelihood estimates was proposed for estimating the model parameters. The usefulness and flexibility of the Exponentiated Gumbel (EG) type-2 distribution
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Amini, M., H. Jabbari, and G. R. Mohtashami Borzadaran. "Aspects of Dependence in Generalized Farlie-Gumbel-Morgenstern Distributions." Communications in Statistics - Simulation and Computation 40, no. 8 (2011): 1192–205. http://dx.doi.org/10.1080/03610918.2011.568149.

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Fang, Rui, Xiaohu Li, and Linxiong Li. "Generalized multivariate Gumbel distributions — Dependence, aging properties and applications." Journal of Systems Science and Complexity 29, no. 6 (2016): 1752–72. http://dx.doi.org/10.1007/s11424-016-4272-8.

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Güven, Bilgehan, and Samual Kotz. "Test of independence for generalized Farlie–Gumbel–Morgenstern distributions." Journal of Computational and Applied Mathematics 212, no. 1 (2008): 102–11. http://dx.doi.org/10.1016/j.cam.2006.11.029.

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Beg, M. I., and M. Ahsanullah. "Concomitants of generalized order statistics from Farlie–Gumbel–Morgenstern distributions." Statistical Methodology 5, no. 1 (2008): 1–20. http://dx.doi.org/10.1016/j.stamet.2007.04.001.

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El-Morshedy, M., Fahad Sameer Alshammari, Yasser S. Hamed, Mohammed S. Eliwa, and Haitham M. Yousof. "A New Family of Continuous Probability Distributions." Entropy 23, no. 2 (2021): 194. http://dx.doi.org/10.3390/e23020194.

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In this paper, a new parametric compound G family of continuous probability distributions called the Poisson generalized exponential G (PGEG) family is derived and studied. Relevant mathematical properties are derived. Some new bivariate G families using the theorems of “Farlie-Gumbel-Morgenstern copula”, “the modified Farlie-Gumbel-Morgenstern copula”, “the Clayton copula”, and “the Renyi’s entropy copula” are presented. Many special members are derived, and a special attention is devoted to the exponential and the one parameter Pareto type II model. The maximum likelihood method is used to e
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Bhuyan, Abhijit, and Munindra Borah. "Best fitting probability distributions for annual maximum discharge data of the river Kopili, Assam." Journal of Applied and Natural Science 1, no. 1 (2009): 50–52. http://dx.doi.org/10.31018/jans.v1i1.34.

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In this study our main objective is to determine the best fitting probability distribution for annual maximum flood discharge data of river Kopili, Assam. Various probability distributions i.e. Gumbel (G), generalized extreme value (GEV), normal (N), log-normal (LN3), generalized logistic (GLO), generalized pareto (GPA) and Pearson type-III (PE3) have been used for our study. The L-moments methods have been used for estimating the parameters of all the distributions. The root mean square error (RMSE), model efficiency and D-index (fit in the top six values) together with L-moment ratio diagram
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Bairamov, I., S. Kotz, and M. Bekçi. "New generalized Farlie-Gumbel-Morgenstern distributions and concomitants of order statistics." Journal of Applied Statistics 28, no. 5 (2001): 521–36. http://dx.doi.org/10.1080/02664760120047861.

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Cuadras, Carles M., and Walter Díaz. "Another generalization of the bivariate FGM distribution with two-dimensional extensions." Acta et Commentationes Universitatis Tartuensis de Mathematica 16, no. 1 (2012): 3–12. http://dx.doi.org/10.12697/acutm.2012.16.01.

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The Farlie–Gumbel–Morgenstern family of bivariate distributions with given marginals is frequently used in theory and applications and has been generalized in many ways. With the help of two auxiliary distributions, we propose another generalization and study its properties. After defining the dimension of a distribution as the cardinal of the set of canonical correlations, we prove that some well-known distributions are practically two-dimensional. Then we introduce an extended FGM family in two dimensions and study how to approximate any distribution to this family.
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Dissertations / Theses on the topic "Generalized Gumbel distributions"

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Pinheiro, Eliane Cantinho. "Contribuições em inferência e modelagem de valores extremos." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-24062014-145858/.

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A teoria do valor extremo é aplicada em áreas de pesquisa tais como hidrologia, estudos de poluição, engenharia de materiais, controle de tráfego e economia. A distribuição valor extremo ou Gumbel é amplamente utilizada na modelagem de valores extremos de fenômenos da natureza e no contexto de análise de sobrevivência para modelar o logaritmo do tempo de vida. A modelagem de valores extremos de fenômenos da natureza tais como velocidade de vento, nível da água de rio ou mar, altura de onda ou umidade é importante em estatística ambiental pois o conhecimento de valores extremos de tais eventos
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Andrade, Maria Aparecida Silva de. "Diagnósticos de Influência em Modelo de Regressão de Valor Extremo em Censura Tipo I." Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/9289.

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Submitted by Fernando Souza (fernandoafsou@gmail.com) on 2017-08-21T16:29:54Z No. of bitstreams: 1 arquivototal.pdf: 917941 bytes, checksum: e85ae298ee652a63fa17fc43f8fc6b8f (MD5)<br>Made available in DSpace on 2017-08-21T16:29:54Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 917941 bytes, checksum: e85ae298ee652a63fa17fc43f8fc6b8f (MD5) Previous issue date: 2016-03-01<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq<br>In this paper, we analyze the problem of evaluating the influence of
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Silva, Renato Rodrigues. "A distribuição generalizada de Pareto e mistura de distribuições de Gumbel no estudo da vazão e da velocidade máxima do vento em Piracicaba, SP." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-18112008-145737/.

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A teoria dos valores extremos é um tópico da probabilidade que descreve a distribuição assintótica das estatísticas de ordem, tais como máximos ou mínimos, de uma seqüência de variáveis aleatórias que seguem uma função de distribuição F normalmente desconhecida. Descreve, ainda, a distribuição assintótica dos excessos acima de um valor limiar de um ou mais termos dessa seqüência. Dessa forma, as metodologias padrões utilizada neste contexto consistem no ajuste da distribuição generalizada dos valores extremos a uma série de máximos anuais ou no ajuste da distribuição generalizada de Pareto a u
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Mbah, Alfred Kubong. "On the theory of records and applications." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002216.

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"Construction of one priori for the parameters of the generalized extreme values model based in quantis with Gumbel distribution." Tese, BIBLIOTECA CENTRAL DA UFLA, 2006. http://bibtede.ufla.br/tede//tde_busca/arquivo.php?codArquivo=247.

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Conference papers on the topic "Generalized Gumbel distributions"

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Wang, Y., H. Mallahzadeh, M. K. Abu Husain, N. I. Mohd Zaki, and G. Najafian. "Probabilistic Modelling of Extreme Offshore Structural Response due to Random Wave Loading." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10905.

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Offshore structures are exposed to random wave loading in the ocean environment and hence the probability distribution of the extreme values of their response to wave loading is required for their safe and economical design. This paper investigates the suitability of the Gumbel, the Generalized Extreme Value (GEV), and the Generalized Pareto (GP) distributions for modelling of extreme responses by comparing them with empirical distributions derived from extensive Monte Carlo time simulations. It will be shown that none of these distributions can model the extreme values adequately but that a m
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Pandey, M. D., and H. J. Sutherland. "Probabilistic Analysis of List Data for the Estimation of Extreme Design Loads for Wind Turbine Components." In ASME 2003 Wind Energy Symposium. ASMEDC, 2003. http://dx.doi.org/10.1115/wind2003-866.

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Robust estimation of wind turbine design loads for service lifetimes of 30 to 50 years that are based on field measurements of a few days is a challenging problem. Estimating the long-term load distribution involves the integration of conditional distributions of extreme loads over the mean wind speed and turbulence intensity distributions. However, the accuracy of the statistical extrapolation is fairly sensitive to both model and sampling errors. Using measured inflow and structural data from the LIST program, this paper presents a comparative assessment of extreme loads using three distribu
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Alfonso, L., F. Caleyo, J. M. Hallen, and J. Araujo. "On the Use of the Generalized Lambda Distribution and Parametric Bootstrap Method in the Prediction of Maximum Pit Depths: Comparison With Experimental Pipeline Data." In 2010 8th International Pipeline Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ipc2010-31327.

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The approach proposed by Najjar and coworkers for the prediction of maximum pit depth is applied and validated through direct comparison with real pipeline steel pitting corrosion data. This methodology combines the Generalized Lambda Distribution (GLD) and the Bootstrap Method (BM) in order to estimate both the maximum pit depth and confidence intervals associated with the estimation. Samples are drawn from real-life pitting corrosion data and the GLD is used to obtain modeled pit depth distributions emulating the experimental ones. In order to estimate the maximum pit depth over an N-times l
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Han, Yueli, and Daoji Shi. "The Variances of VaR for the Poisson-Gumbel Compound Extreme Value Distribution and for the Poisson-Generalized Pareto Compound Peaks over Threshold Distribution." In 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing (NSWCTC). IEEE, 2009. http://dx.doi.org/10.1109/nswctc.2009.332.

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Zhang, Xiaodong, Ying Min Low, and Chan Ghee Koh. "Prediction of Low Failure Probabilities With Application to Marine Risers." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61574.

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Offshore riser systems are subjected to wind, wave and current loadings, which are random in nature. Nevertheless, the current deterministic based design and analysis practice could not quantitatively evaluate the safety of structures taking random environmental loadings into consideration, due to high computational costs. Structural reliability method, as an analysis tool to quantify probability of failure of components or systems, can account for uncertainties in environmental conditions and system parameters. It is particularly useful in cases where limited experience exists or a risk-based
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Reports on the topic "Generalized Gumbel distributions"

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Dudel, H. P., and S. H. Lehnigk. Calculation of Quantiles for Hyper-Gamma, Generalized Gumbel, and Lognormal Distributions. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada211521.

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Hall, Jr, Lehnigk Charles E., Viswanath Siegfried H., and Guttalu R. Maximum-Likelihood Parameter Estimation of a Generalized Gumbel Distribution. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada207994.

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