Works matching DE "ASYMPTOTIC independence"
Results: 20
Modelling across extremal dependence classes.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2017, v. 79, n. 1, p. 149, doi. 10.1111/rssb.12157
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Asymptotic independence of servers' activity in queueing systems with limited resource pooling.
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- Queueing Systems, 2016, v. 83, n. 1/2, p. 13, doi. 10.1007/s11134-016-9475-0
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Estimating the Coefficient of Asymptotic Tail Independence: a Comparison of Methods.
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- Advances in Methodology & Statistics / Metodološki Zvezki, 2016, v. 13, n. 2, p. 101, doi. 10.51936/qkml2922
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EXTREMAL (IN)DEPENDENCE OF A MAXIMUM AUTOREGRESSIVE PROCESS.
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- Discussiones Mathematicae: Probability & Statistics, 2013, v. 33, n. 1-2, p. 47, doi. 10.7151/dmps.1150
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Some properties of asymptotic energy of a class of functionals of Ginzburg-Landau type endowed with generalized lower-order oscillatory term in one dimension.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2014, v. 14, n. 1, p. 753, doi. 10.1002/pamm.201410359
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TAIL BEHAVIOR OF RANDOMLY WEIGHTED SUMS.
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- Advances in Applied Probability, 2012, v. 44, n. 3, p. 794, doi. 10.1239/aap/1346955265
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A sum characterization of hidden regular variation with likelihood inference via expectation-maximization.
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- Biometrika, 2014, v. 101, n. 1, p. 17, doi. 10.1093/biomet/ast046
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Models for the extremes of Markov chains.
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- Biometrika, 1998, v. 85, n. 4, p. 851, doi. 10.1093/biomet/85.4.851
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Confidence intervals for the parameters estimated from simulated O<sub>2</sub> uptake kinetics: effects of different data treatments.
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- Experimental Physiology, 2014, v. 99, n. 1, p. 187, doi. 10.1113/expphysiol.2013.076208
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The Statistical Evaluation of a Binary Test Based on Combined Samples.
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- Journal of Quality Technology, 2016, v. 48, n. 1, p. 54, doi. 10.1080/00224065.2016.11918151
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Detecting distributional changes in samples of independent block maxima using probability weighted moments.
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- Extremes, 2017, v. 20, n. 2, p. 417, doi. 10.1007/s10687-016-0273-1
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kth-order Markov extremal models for assessing heatwave risks.
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- Extremes, 2017, v. 20, n. 2, p. 393, doi. 10.1007/s10687-016-0275-z
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Bayesian uncertainty management in temporal dependence of extremes.
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- Extremes, 2016, v. 19, n. 3, p. 491, doi. 10.1007/s10687-016-0258-0
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Modeling multiple risks: hidden domain of attraction.
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- Extremes, 2013, v. 16, n. 4, p. 507, doi. 10.1007/s10687-013-0171-8
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Overflow Networks: Approximations and Implications to Call Center Outsourcing.
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- Operations Research, 2012, v. 60, n. 4, p. 996, doi. 10.1287/opre.1120.1070
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Modeling Spatial Processes with Unknown Extremal Dependence Class.
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- Journal of the American Statistical Association, 2019, v. 114, n. 525, p. 434, doi. 10.1080/01621459.2017.1411813
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Robust Permutation Tests For Correlation And Regression Coefficients.
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- Journal of the American Statistical Association, 2017, v. 112, n. 519, p. 1211, doi. 10.1080/01621459.2016.1202117
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Curvas de crescimento para codornas de corte.
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- Ciência Rural, 2013, v. 43, n. 10, p. 1872
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Beyond Dimension two: A Test for Higher-Order Tail Risk.
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- Journal of Financial Econometrics, 2016, v. 14, n. 3, p. 552, doi. 10.1093/jjfinec/nbv022
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Transformations preserving the Lyapunov exponents.
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- Communications in Contemporary Mathematics, 2018, v. 20, n. 4, p. -1, doi. 10.1142/S0219199717500274
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- Article