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EM Estimation for Multivariate Skew Slash Distribution

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Robustness in Econometrics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 692))

Abstract

In this paper, the class of multivariate skew slash distributions under different type of setting is introduced and its density function is discussed. A procedure to obtain the Maximum Likelihood estimators for this family is studied. In addition, the Maximum Likelihood estimators for the mixture model based on this family are discussed. For illustration of the main results, we use the actual data coming from the Inner Mongolia Academy of Agriculture and Animal Husbandry Research Station to show the performance of the proposed algorithm.

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Acknowledgements

This material is based upon work funded by National Natural Science Foundation of China (Grant No. IRT1259).

We gratefully acknowledge referees for their valuable comments and suggestions which greatly improve this paper.

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Correspondence to Tonghui Wang .

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Tian, W., Han, G., Wang, T., Pipitpojanakarn, V. (2017). EM Estimation for Multivariate Skew Slash Distribution. In: Kreinovich, V., Sriboonchitta, S., Huynh, VN. (eds) Robustness in Econometrics. Studies in Computational Intelligence, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-319-50742-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-50742-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50741-5

  • Online ISBN: 978-3-319-50742-2

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