| Record ID | marc_columbia/Columbia-extract-20221130-030.mrc:185671034:3979 |
| Source | marc_columbia |
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LEADER: 03979cam a2200745 i 4500
001 14916327
005 20220611233032.0
006 m o d
007 cr |||||||||||
008 200210t20202020flua ob 001 0 eng
010 $a 2020001142
035 $a(OCoLC)on1143815046
035 $a(NNC)14916327
040 $aDLC$beng$epn$erda$cDLC$dOCLCO$dOCLCQ$dYDX$dEBLCP$dOCLCF$dTYFRS$dYDX$dWAU$dORE$dOCLCO
019 $a1154612483$a1287868601
020 $a9781315120003$qelectronic book
020 $a1315120003$qelectronic book
020 $a9781351646314$qelectronic book
020 $a1351646311$qelectronic book
020 $a9781498720908$qelectronic book
020 $a1498720900$qelectronic book
020 $a9781351636780$qelectronic book
020 $a1351636782$qelectronic book
020 $z9781498720878$qhardback
020 $z9780367493219$qpaperback
035 $a(OCoLC)1143815046$z(OCoLC)1154612483$z(OCoLC)1287868601
037 $a9781315120003$bTaylor & Francis
042 $apcc
046 $k2020$2edtf
050 04 $aQA276.8
072 7 $aMAT$x029000$2bisacsh
072 7 $aPBT$2bicssc
082 00 $a519.5/44$223
049 $aZCUA
100 1 $aCole, Diana,$d1978-$eauthor.
245 10 $aParameter redundancy and identifiability /$cDiana J. Cole.
264 1 $aBoca Raton, FL :$bCRC Press,$c[2020]
264 4 $c©2020
300 $a1 online resource (xx, 252 pages) :$billustrations.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC interdisciplinary statistics series
500 $a"A Chapman & Hall Book."
504 $aIncludes bibliographical references and indexes.
505 0 $aProblems with parameter redundancy -- Parameter redundancy and identifiability definitions and theory -- Practical general methods for detecting parameter redundancy and identifiability -- Detecting parameter redundancy and identifiability in complex models -- Bayesian identifiability -- Identifiability in continuous state-space models -- Identifiability in discrete state-space models -- Detecting parameter redundancy in ecological models.
520 $a"Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to find parameter estimates for every parameter in that model, but in some cases this is not possible. For example, two parameters that only ever appear in the model as a product could not be estimated individually; only the product can be estimated. Such a model is said to be parameter redundant, or the parameters are described as non-identifiable. This book explains why parameter redundancy and non-identifiability is a problem and the different methods that can be used for detection, including in a Bayesian context"--$cProvided by publisher.
588 0 $aPrint version record.
650 0 $aParameter estimation.
650 0 $aMathematical models.
650 0 $aEcology$xStatistical methods.
650 0 $aEcology$xMathematical models.
650 6 $aEstimation d'un paramètre.
650 6 $aModèles mathématiques.
650 7 $amathematical models.$2aat
650 7 $aMATHEMATICS / Probability & Statistics / General$2bisacsh
650 7 $aEcology$xMathematical models.$2fast$0(OCoLC)fst00901509
650 7 $aEcology$xStatistical methods.$2fast$0(OCoLC)fst00901539
650 7 $aMathematical models.$2fast$0(OCoLC)fst01012085
650 7 $aParameter estimation.$2fast$0(OCoLC)fst01052990
655 0 $aElectronic books.
776 08 $iPrint version:$aCole, Diana, 1978-$tParameter redundancy and identifiability.$dBoca Raton : CRC Press, [2020]$z9781498720878$w(DLC) 2020001141$w(OCoLC)1143826114
830 0 $aInterdisciplinary statistics.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14916327$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS