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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-016.mrc:37802559:1857
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-016.mrc:37802559:1857?format=raw

LEADER: 01857cam a2200337 a 4500
001 7632912
005 20221201014040.0
008 091022t20102010flua b 001 0 eng
010 $a 2009042286
020 $a9781420064902 (hardcover : alk. paper)
020 $a1420064908 (hardcover : alk. paper)
024 $a40017560080
035 $a(OCoLC)ocn166358444
035 $a(OCoLC)166358444
035 $a(NNC)7632912
035 $a7632912
040 $aDLC$cDLC$dC#P$dOrLoB-B
050 00 $aQA298$b.H43 2010
082 00 $a518/.282$222
100 1 $aHeadrick, Todd C.$0http://id.loc.gov/authorities/names/n2009067794
245 10 $aStatistical simulation :$bpower method polynomials and other transformations /$cTodd C. Headrick.
260 $aBoca Raton :$bChapman & Hall/CRC,$c[2010], ©2010.
300 $avii, 166 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references and index.
505 00 $g1.$tIntroduction -- $g2.$tThe power method transformation -- $g3.$tUsing the power method transformation -- $g4.$tSimulating more elaborate correlation structures -- $g5.$tOther transformations : the g-and-h and GLD families of distributions.
520 1 $a"Written by a longtime researcher of the power method, this book explains how to simulate nonnormal distributions via easy-to-use power method polynomials. By using the methodology and techniques developed in the text, readers can evaluate different transformations in terms of comparing percentiles, measures of central tendency, goodness-of-fit tests, and more."--BOOK JACKET.
650 0 $aMonte Carlo method.$0http://id.loc.gov/authorities/subjects/sh85087032
650 0 $aDistribution (Probability theory)$0http://id.loc.gov/authorities/subjects/sh85038545
852 00 $bmat$hQA298$i.H43 2010