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Truncated skew-normal distributions: moments, estimation by weighted moments and application to climatic data. (2010). Naveau, Philippe ; Allard, Denis ; Flecher, Cedric .
In: Metron - International Journal of Statistics.
RePEc:mtn:ancoec:100308.

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  1. Bounded data modeling using logit-skew-normal mixtures. (2025). Contreras-Reyes, Javier E ; Mahdavi, Abbas.
    In: Statistical Papers.
    RePEc:spr:stpapr:v:66:y:2025:i:3:d:10.1007_s00362-025-01677-y.

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  2. Some Statistical Aspects of the Truncated Multivariate Skew- t Distribution. (2022). Moran-Vasquez, Raul Alejandro ; Zarrazola, Edwin ; Nagar, Daya K.
    In: Mathematics.
    RePEc:gam:jmathe:v:10:y:2022:i:15:p:2793-:d:881773.

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  3. Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution. (2022). Lachos, Victor H ; Castro, Luis M ; Matos, Larissa A ; Galarza, Christian E.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:189:y:2022:i:c:s0047259x21002062.

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  4. On moments of folded and truncated multivariate Student-t distributions based on recurrence relations. (2021). Wang, Wan-Lun ; Lachos, Victor H ; Tsung-I Lin, ; Galarza, Christian E.
    In: Metrika: International Journal for Theoretical and Applied Statistics.
    RePEc:spr:metrik:v:84:y:2021:i:6:d:10.1007_s00184-020-00802-1.

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  5. Asymptotic distributions and performance of empirical skewness measures. (2020). Klar, Bernhard ; Eberl, Andreas.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:146:y:2020:i:c:s016794732030030x.

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  6. On application of the univariate Kotz distribution and some of its extensions. (2018). Salehi, Mahdi ; Azzalini, Adelchi.
    In: METRON.
    RePEc:spr:metron:v:76:y:2018:i:2:d:10.1007_s40300-018-0137-3.

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  7. Randomly Truncated Nonlinear Mixed-Effects Models. (2016). Mota, Carolina Costa ; Ribeiro, Carlos Alberto.
    In: Journal of Agricultural, Biological and Environmental Statistics.
    RePEc:spr:jagbes:v:21:y:2016:i:2:d:10.1007_s13253-016-0245-6.

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  8. Rényi entropy and complexity measure for skew-gaussian distributions and related families. (2015). Contreras-Reyes, Javier E..
    In: Physica A: Statistical Mechanics and its Applications.
    RePEc:eee:phsmap:v:433:y:2015:i:c:p:84-91.

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References

References cited by this document

  1. Arfken, G. (1985) Mathematical Methods for Physicists, 3rd ed., Orlando, FL: Academic Press. Arellano-Valle, R. B. and Azzalini, A. (2008) The centred parametrization for the multivariate skew-normal distribution, Journal of Multivariate Analysis, 99, 1362â1382.

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  3. Azzalini, A. (2009) R package sn: The skew-normal and skew-t distributions (version 0.4-12), URL http://azzalini.stat.unipd.it/SN.
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  4. Davison, A. C. and Hinkley, D. (1997) Bootstrap methods and their applications, Cambridge Series. Diebolt, J., Guillou, A., Naveau, P. and Ribereau, P. Improving probability-weighted moment methods for the generalized extreme value distribution, REVSTAT - Statistical Journal, 6-1, 33â50.
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  5. Dhrymes, P. J. (2005) Moments of truncated Normal distribution, Unpublished note. Avalaible at <http://www.columbia.edu/âpjd1/papers.html> (28.05.2009). Truncated skew-normal distributions 345 Flecher, C. Naveau, P. and Allard, D. (2009) Estimating the Closed Skew-Normal parameters using weighted moments, Statistics & Probability Letters, 79, (19), 1977â1984.

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  7. Genton, M. G. (Ed., 2004) Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality, Boca Raton, FL: Chapman & Hall/CRC.
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  8. Hosking, J. R. M., Wallis, J. R. and Wood, E. F. (1985) Estimation of the generalized extremevalue distribution by the method of probability-weighted moments, Technometrics, 27, 251â 261.
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  11. Perry, R. H. and Green, D. W. (Ed., 2007) Perryâs Chemical Engineersâ Handbook, 7th Revised edition, McGraw-Hill Publishing Co.
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  12. Semenov, A. M., Brooks, R. J., Barrow, E. M. and Richardson, C. W. (1998) Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates, Climate research, 10, 95â107. CEDRIC FLECHER Biostatistics and Spatial Processes, INRA, Agroparc 84914 Avignon (France) Laboratoire des Sciences du Climat et de lâEnvironnement CNRS Gif-sur-Yvette (France) DENIS ALLARD Biostatistics and Spatial Processes, INRA, Agroparc 84914 Avignon (France) Denis.Allard@avignon.inra.fr PHILIPPE NAVEAU Laboratoire des Sciences du Climat et de lâEnvironnement CNRS Gif-sur-Yvette (France) Philippe.Naveau@lsce.ipsl.fr
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