EM estimation for multivariate skew slash distribution

© Springer International Publishing AG 2017. 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 Max...

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Main Authors: Tian W., Han G., Wang T., Pipitpojanakarn V.
Format: Book Series
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012928638&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40809
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Institution: Chiang Mai University
id th-cmuir.6653943832-40809
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spelling th-cmuir.6653943832-408092017-09-28T04:11:31Z EM estimation for multivariate skew slash distribution Tian W. Han G. Wang T. Pipitpojanakarn V. © Springer International Publishing AG 2017. 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. 2017-09-28T04:11:31Z 2017-09-28T04:11:31Z Book Series 1860949X 2-s2.0-85012928638 10.1007/978-3-319-50742-2_14 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012928638&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40809
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © Springer International Publishing AG 2017. 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.
format Book Series
author Tian W.
Han G.
Wang T.
Pipitpojanakarn V.
spellingShingle Tian W.
Han G.
Wang T.
Pipitpojanakarn V.
EM estimation for multivariate skew slash distribution
author_facet Tian W.
Han G.
Wang T.
Pipitpojanakarn V.
author_sort Tian W.
title EM estimation for multivariate skew slash distribution
title_short EM estimation for multivariate skew slash distribution
title_full EM estimation for multivariate skew slash distribution
title_fullStr EM estimation for multivariate skew slash distribution
title_full_unstemmed EM estimation for multivariate skew slash distribution
title_sort em estimation for multivariate skew slash distribution
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012928638&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40809
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