LEADER 00000cam a2200625Ii 4500 
001    ocn873140220 
003    OCoLC 
005    20160527040717.6 
006    m     o  d         
007    cr mn||||||||| 
008    140315t20142014cc a    ob    001 0 eng d 
020    9789814579063|q(electronic book) 
020    9814579068|q(electronic book) 
020    |z9789814579056 
020    |z981457905X 
035    (OCoLC)873140220 
040    EBLCP|beng|epn|cEBLCP|dOSU|dN$T|dDEBSZ|dYDXCP|dCOO|dOCLCQ
       |dGGVRL|dOCLCQ|dOCLCF|dOCLCQ 
049    RIDW 
050  4 QA273 
050  4 QA188|b.B3525 2014eb 
072  7 MAT|x003000|2bisacsh 
072  7 MAT|x029000|2bisacsh 
082 04 519.2 
090    QA273 
090    QA188|b.B3525 2014eb 
100 1  Bai, Zhidong,|0https://id.loc.gov/authorities/names/
       n2003010737|eauthor. 
245 10 Spectral theory of large dimensional random matrices and 
       its applications to wireless communications and finance 
       statistics :|brandom matrix theory and its applications /
       |cZhidong Bai, Zhaoben Fang, Ying-Chang Liang. 
264  1 [Anhui] :|bUniversity of Science and Technology of China 
       Press ;|aSingapore :|bWorld Scientific,|c[2014] 
264  4 |c©2014 
300    1 online resource (xi, 220 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
500    "This work is originally published by University of 
       Science and Technology of China Press in 2010"--Title page
       verso. 
504    Includes bibliographical references (pages 201-215) and 
       index. 
505 0  Limiting spectral distributions -- Extreme eigenvalues -- 
       Central limit theorems of linear spectral statistics -- 
       Limiting behavior of eigenmatrix of sample covariance 
       matrix -- Wireless communications -- limiting performances
       of linear and iterative receivers -- Application to 
       finance. 
520    The book contains three parts: Spectral theory of large 
       dimensional random matrices; Applications to wireless 
       communications; and Applications to finance. In the first 
       part, we introduce some basic theorems of spectral 
       analysis of large dimensional random matrices that are 
       obtained under finite moment conditions, such as the 
       limiting spectral distributions of Wigner matrix and that 
       of large dimensional sample covariance matrix, limits of 
       extreme eigenvalues, and the central limit theorems for 
       linear spectral statistics. In the second part, we 
       introduce some basic examples of applications of ... 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Matrices.|0https://id.loc.gov/authorities/subjects/
       sh85082210 
650  7 Matrices.|2fast|0https://id.worldcat.org/fast/1012399 
655  0 Electronic books. 
655  4 Electronic books. 
700 1  Fang, Zhaoben,|0https://id.loc.gov/authorities/names/
       nr00017863|eauthor. 
700 1  Liang, Ying-Chang,|0https://id.loc.gov/authorities/names/
       no2010018037|eauthor. 
776 08 |iPrint version:|aBai, Zhidong.|tSpectral theory of large 
       dimensional random matrices and its applications to 
       wireless communications and finance statistics.|dSingapore
       : World Scientific Publishing Co. Pte Ltd, [2014]
       |z9789814579056|w(OCoLC)864845217 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=711766|zOnline eBook. Access restricted to 
       current Rider University students, faculty, and staff. 
856 42 |3Instructions for reading/downloading this eBook|uhttp://
       guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20160607|cEBSCO|tebscoebooksacademic|lridw 
994    92|bRID