Nonlinear regression using order statistics from the multivariate generalized hyperbolic distributions-Reference-Cited by-同舟云学术

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Nonlinear regression using order statistics from the multivariate generalized hyperbolic distributions

Published:2019-04-03 Issue:5 Volume:50 Page:1348-1363
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Amiri M.¹,Roozegar R.²,Jamalizadeh A.³⁴

Affiliation:

1. Department of Statistics, Facualty of Basic Sciences, University of Hormozgan, Bandarabbas, Iran;

2. Department of Mathematics, College of Sciences, Yasouj University, Yasuj, Iran;

3. Department of Statistics, Faculty of Mathematics & Computer, Shahid Bahonar University of Kerman, Kerman, Iran;

4. Mahani Mathematical Research Center, Shahid Bahonar University of Kerman, Kerman, Iran

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1581892

Reference21 articles.

1. Prediction based on linear combinations of order statistics and bivariate concomitants in the case of multivariate elliptical distributions

2. On the Unification of Families of Skew-normal Distributions

3. A unified view on skewed distributions arising from selections

4. The joint distribution of the sum and maximum of dependent Pareto risks

5. Exponentially decreasing distributions for the logarithm of particle size

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1. Construction and biochemical characterization of a novel hybrid alginate lyase with high activity by module recombination to prepare alginate oligosaccharides;International Journal of Biological Macromolecules;2021-01

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