An asymmetric multivariate weibull distribution
DOI10.1080/03610926.2019.1599949OpenAlexW2941513975MaRDI QIDQ5077508
Mihael Perman, Višnja Jurić, Tomasz J. Kozubowski
Publication date: 18 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1599949
Gaussian mixtureLaplace lawfinancial data modelingmultivariate Weibull distributionskew multivariate distribution
Estimation in multivariate analysis (62H12) Applications of statistics to actuarial sciences and financial mathematics (62P05) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Statistics (62-XX) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10)
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Cites Work
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- Comparison of multivariate distributions using quantile-quantile plots and related tests
- A multivariate Kolmogorov-Smirnov test of goodness of fit
- Asymmetric Laplace laws and modeling financial data
- On the Chambers-Mallows-Stuck method for simulating skewed stable random variables
- On Bayesian Modeling of Fat Tails and Skewness
- A Method for Simulating Stable Random Variables
- Laplace-Weibull Mixtures for Modeling Price Changes
- Modeling asset returns with alternative stable distributions*
- Financial Data Analysis with Two Symmetric Distributions
- A new generalized weighted Weibull distribution with decreasing, increasing, upside-down bathtub, N-shape and M-shape hazard rate
- Discrimination among bivariate beta-generated distributions
- The effect of autoregressive dependence on a nonparametric test (Corresp.)
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