高斯误差组合回归的有限混合

Q3 Mathematics

Revista Colombiana De Estadistica Pub Date : 2018-01-01 DOI:10.15446/RCE.V41N1.63152

Taciana K. O. Shimizu, F. Louzada, A. K. Suzuki

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引用次数: 0

摘要

本文考虑从进攻、拦网和发球三个方面来评价排球运动员的效率，但要考虑与基本数据相关的组成结构。与常用的回归模型相比，有限混合回归模型能更好地拟合数据。最大似然估计是通过EM算法得到的。仿真研究表明，该估计更接近于实际值，估计量对参数是渐近无偏的。与球员效率相关的真实巴西排球数据集被考虑用于分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Finite mixture of compositional regression with gaussian errors

In this paper, we consider to evaluate the efficiency of volleyball players according to the performance of attack, block and serve, but considering the compositional structure of the data related to the fundaments. The finite mixture of regression models better fitted the data in comparison with the usual regression model. The maximum likelihood estimates are obtained via an EM algorithm. A simulation study revels that the estimates are closer to the real values, the estimators are asymptotically unbiased for the parameters. A real Brazilian volleyball dataset related to the efficiency of the players is considered for the analysis.

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来源期刊

Revista Colombiana De Estadistica STATISTICS & PROBABILITY-

CiteScore

1.20

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Colombian Journal of Statistics publishes original articles of theoretical, methodological and educational kind in any branch of Statistics. Purely theoretical papers should include illustration of the techniques presented with real data or at least simulation experiments in order to verify the usefulness of the contents presented. Informative articles of high quality methodologies or statistical techniques applied in different fields of knowledge are also considered. Only articles in English language are considered for publication. The Editorial Committee assumes that the works submitted for evaluation have not been previously published and are not being given simultaneously for publication elsewhere, and will not be without prior consent of the Committee, unless, as a result of the assessment, decides not publish in the journal. It is further assumed that when the authors deliver a document for publication in the Colombian Journal of Statistics, they know the above conditions and agree with them.