請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60299完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張志中 | |
| dc.contributor.author | Chu-Chi Lee | en |
| dc.contributor.author | 李竺祈 | zh_TW |
| dc.date.accessioned | 2021-06-16T10:15:05Z | - |
| dc.date.available | 2013-09-02 | |
| dc.date.copyright | 2013-09-02 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-19 | |
| dc.identifier.citation | [1] Zhidong Bai and Jack W. Silverstein. Spectral analysis of large dimensional
random matrices. Springer series in statistics. Springer, 2nd ed edition, 2010. [2] V. I. Bogachev. Gaussian measures. Number 62 in Mathematical surveys and monographs. American Mathematical Society, 2nd ed edition, 1998. [3] A. Lytova and L. Pastur. Central limit theorem for linear eigenvalue statistics of random matrices with independent entries. The Annals of Probability, 37(5): 1778 – 1840, 2009. [4] V. Marchenko and L. Pastur. The eigenvalue distribution in some ensembles of random matrices. Math. USSR Sbornik 1, pages 457–483, 1967. [5] Y. V. Prokhorov and Y. A. Rozanov. Probability Theory. Springer, 1969. [6] E. C. Titchmarsh. Introduction to the theory of fourier integrals. Oxford University Press, 2nd ed edition, 1948. 57 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60299 | - |
| dc.description.abstract | 在這篇文章中,我們補充了許多[3] 省略的細節,完整的證明樣本
共變數矩陣特徵值的中央極限定理。 | zh_TW |
| dc.description.abstract | In this paper, we provide the details omitted in [3] and give complete
proofs on the central limit theorems for linear eigenvalue statistics of sample covariance matrices. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T10:15:05Z (GMT). No. of bitstreams: 1 ntu-102-R99221038-1.pdf: 341110 bytes, checksum: 82cda9f81f78665f60faef22210cb041 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 致謝3
中文摘要7 Abstract 9 1 Introduction 11 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 1.2 Notation and results . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2 Central limit theorem for linear eigenvalue statistics of the Wishart ensemble 19 2.1 Generalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.2 Limiting normalized counting measure of eigenvalues . . . . . . . . . 21 2.3 Central limit theorem for linear eigenvalue statistics . . . . . . . . . . 24 3 Central limit theorem for linear eigenvalue statistics of sample covariance matrices: the case of zero excess of entries 33 3.1 Generalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.2 Limiting normalized counting measure of eigenvalues . . . . . . . . . 35 3.3 Central limit theorem for linear eigenvalue statistics . . . . . . . . . . 38 4 Central limit theorem for linear eigenvalue statistics of sample covariance matrices in the general case 45 4.1 Variance estimates . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.2 Central limit theorem for linear eigenvalue statistics . . . . . . . . . . 47 | |
| dc.language.iso | en | |
| dc.subject | 特徵值 | zh_TW |
| dc.subject | 中央極限定理 | zh_TW |
| dc.subject | 樣本共變數矩陣 | zh_TW |
| dc.subject | Sample covariance matrices | en |
| dc.subject | Linear eigeinvalue statistics | en |
| dc.subject | Central limit theorem | en |
| dc.title | 樣本共變異數矩陣特徵值之中央極限定理 | zh_TW |
| dc.title | On the Central Limit Theorem for Linear Eigenvalue Statistics of
Sample Covariance Matrices | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳宏,黃啟瑞 | |
| dc.subject.keyword | 樣本共變數矩陣,特徵值,中央極限定理, | zh_TW |
| dc.subject.keyword | Sample covariance matrices,Linear eigeinvalue statistics,Central limit theorem, | en |
| dc.relation.page | 57 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-08-19 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 數學研究所 | zh_TW |
| 顯示於系所單位: | 數學系 | |
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