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001    on1104854211 
003    OCoLC 
005    20211008041809.0 
006    m     o  d         
007    cr |n||||||||| 
008    190618s2019    enk     ob    001 0 eng d 
015    GBB9E1154|2bnb 
016 7  019446774|2Uk 
019    1105063973 
020    9781527534650|q(electronic book) 
020    1527534650|q(electronic book) 
020    |z1527532070 
020    |z9781527532076 
035    (OCoLC)1104854211|z(OCoLC)1105063973 
037    9781527534650|bCambridge Scholars Publishing 
040    YDX|beng|epn|cYDX|dN$T|dEBLCP|dOCLCF|dUKMGB|dCDN|dUKAHL
       |dOCLCQ|dOCL|dVRC 
049    RIDW 
050  4 TA342|bB37 2019eb 
072  7 MAT|x000000|2bisacsh 
082 04 511/.8|223 
090    TA342|bB37 2019eb 
100 1  Barakat, Haroon M.|0https://id.loc.gov/authorities/names/
       no2020020080 
245 10 Statistical techniques for modelling extreme value data 
       and related applications /|cby Haroon M. Barakat, El-Sayed
       M. Nigm and Osama M. Khaled. 
264  1 Newcastle upon Tyne, U.K. :|bCambridge Scholars Publishing,
       |c[2019] 
264  4 |c©2019 
300    1 online resource (xx, 260 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft 
504    Includes bibliographical references and index. 
520    This book tackles some modern trends and methods in the 
       modelling of extreme data. Usually such data arise from 
       random phenomena such as floods, hurricanes, air and water
       pollutants, extreme claim sizes, life spans, and maximum 
       sizes of ecological populations. It provides the latest 
       statistical methods to model these random phenomena to 
       understand and predict them, thus allowing the avoidance 
       of damage or at least minimizing it. In addition, this 
       book sheds light on the mathematical and statistical 
       theories on which applied modelling methods were built. 
       Therefore, it has both an applied and theoretical 
       orientation, and represents a valuable addition to 
       existing literature on the modelling of extreme value 
       data. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Mathematical models.|0https://id.loc.gov/authorities/
       subjects/sh85082124 
650  0 Simulation methods.|0https://id.loc.gov/authorities/
       subjects/sh85122767 
650  0 Natural disasters|0https://id.loc.gov/authorities/subjects
       /sh85090214|xMathematical models.|0https://id.loc.gov/
       authorities/subjects/sh2002007921 
650  0 Natural disasters|0https://id.loc.gov/authorities/subjects
       /sh85090214|xObservations.|0https://id.loc.gov/authorities
       /subjects/sh99001968 
650  7 Mathematical models.|2fast|0https://id.worldcat.org/fast/
       1012085 
650  7 Simulation methods.|2fast|0https://id.worldcat.org/fast/
       1119166 
650  7 Natural disasters|xMathematical models.|2fast|0https://
       id.worldcat.org/fast/1034010 
650  7 Natural disasters.|2fast|0https://id.worldcat.org/fast/
       1033994 
650  7 MATHEMATICS|xGeneral.|2bisacsh 
655  4 Electronic books. 
655  7 Observations.|2fast|0https://id.worldcat.org/fast/1423822 
700 1  Nigm, El-Sayed M.|0https://id.loc.gov/authorities/names/
       no2020020477 
700 1  Khaled, Osama M.|0https://id.loc.gov/authorities/names/
       no2020020385 
776 08 |iPrint version:|z1527532070|z9781527532076
       |w(OCoLC)1099199771 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=2162757|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20211213|cEBSCO|tEBSCOebooksacademic NEW Oct-Nov 5018
       |lridw 
994    92|bRID