A high‐resolution bilevel skew‐ t stochastic generator for assessing Saudi Arabia's wind energy resources-Reference-Cited by-同舟云学术

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A high‐resolution bilevel skew‐ t stochastic generator for assessing Saudi Arabia's wind energy resources

Published:2020-05-03 Issue:7 Volume:31 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Tagle Felipe¹,Genton Marc G.²^ORCID,Yip Andrew³,Mostamandi Suleiman³,Stenchikov Georgiy³,Castruccio Stefano¹^ORCID

Affiliation:

1. Department of Applied and Computational Mathematics and Statistics University of Notre Dame Notre Dame Indiana USA

2. Statistics Program King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

3. Atmospheric and Climate Modeling Group King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2628

Reference59 articles.

1. Markov-switching autoregressive models for wind time series

2. Distribution of the kurtosis statistic b 2 for normal samples;Anscombe F. J.;Biometrika,1983

3. A class of distributions which includes the normal ones;Azzalini A.;Scandinavian Journal of Statistics,1985

4. Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t -distribution

5. IMS monograph series;Azzalini A.,2014

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