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arXiv math/0503552math.PR
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临界多型Galton-Watson过程估计量的极限律

Limit laws of estimators for critical multi-type Galton-Watson processes

Zhiyi Chi

摘要:

考虑了当样本量增大到无穷大时,基于临界多型Galton-Watson过程分支树的大样本的各种估计量的渐近性.建立了树的可加函数的渐近性,如树的大小和树内类型的频率,均值矩阵左特征向量的“频率”估计的高阶渐近性,子代概率的极大似然估计的高阶联合渐近性,均值矩阵右特征向量估计的相合性.

英文摘要:

We consider the asymptotics of various estimators based on a large sample of branching trees from a critical multi-type Galton-Watson process, as the sample size increases to infinity. The asymptotics of additive functions of trees, such as sizes of trees and frequencies of types within trees, a higher-order asymptotic of the ``relative frequency'' estimator of the left eigenvector of the mean matrix, a higher-order joint asymptotic of the maximum likelihood estimators of the offspring probabilities and the consistency of an estimator of the right eigenvector of the mean matrix, are established.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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