Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:1517065:3817 |
Source | marc_columbia |
Download Link | /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:1517065:3817?format=raw |
LEADER: 03817cam a2200493Ma 4500
001 15000592
005 20210607123111.0
006 m o d
007 cr |n|||||||||
008 180817s2000 maua ob 001 0 eng d
010 $z 99058803
035 $a(OCoLC)on1048936532
035 $a(NNC)15000592
040 $aYDX$beng$epn$cYDX$dOTZ$dOCLCO$dOCLCF$dYDX$dTYFRS$dOCLCQ$dUKAHL$dINARC
066 $c(S
019 $a1178534505
020 $a9781439864036$q(electronic bk.)
020 $a1439864039$q(electronic bk.)
020 $z1568811055
020 $z9781568811055
035 $a(OCoLC)1048936532$z(OCoLC)1178534505
050 4 $aQA276
072 7 $aMAT$x029000$2bisacsh
072 7 $aPBT$2bicscc
082 04 $a519.5$223
049 $aZCUA
100 1 $aTarter, Michael E.
245 10 $aStatistical curves and parameters :$bchoosing an appropriate approach /$cMichael E. Tarter.
260 $aNatick, Mass. :$bA K Peters,$c2000.
300 $a1 online resource
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
520 3 $aStatistical Parameters is a unique new guide to current statistical methods and research. Based on a series of interdisciplinary lectures for users of statistical methods in research and development, this book provides insights into data acquisition and statistical interpretation.
505 00 $g1.$tIntroduction --$g2.$tModel and Distribution Terminology --$g3.$tVariability and Related Curve Properties --$g4.$tMoments and Curve Uncertainty --$g5.$tGoodness of fit --$g6.$tVariates, Variables and Regression --$g7.$tMixing Parameters and Data-generation models --$g8.$tThe Association Parameter [rho] --$g9.$tRegression and Association Parameters --$g10.$tParameters, Confounding, and Least Squares --$g11.$tNonparametric Adjustment --$g12.$tContinuous Variate Adjustment --$g13.$tProcedural Road Maps --$g14.$tModel-based and Generalized Representation --$g15.$tParameters, Transformations, and Quantiles --$g16.$tNoncentrality Parameters and Degrees of Freedom --$g17.$tParameter-Based Estimation --$g18.$tInference and Composite Variates.
650 0 $aMathematical statistics.
650 7 $aMathematical statistics.$2fast$0(OCoLC)fst01012127
653 $aMATHEMATICAL STATISTICS
653 $aMETHODS
776 08 $iPrint version:$aTarter, Michael E.$tStatistical curves and parameters.$dNatick, Mass. : A K Peters, 2000$z1568811055$z9781568811055$w(DLC) 99058803$w(OCoLC)42882789
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15000592$zTaylor & Francis eBooks
880 0 $6505-00/(S$achapter 1 Introduction -- chapter 2 Model and Distribution Terminology -- chapter 3 Variability and Related Curve Properties -- chapter 4 Moments and Curve Uncertainty -- chapter 5 Goodness of fit -- chapter 6 Variates, Variables and Regression -- chapter 7 Mixing Parameters and Data-generation models -- chapter 8 The Association Parameter ρ -- chapter 9 Regression and Association Parameters -- chapter 10 Parameters, Confounding, and Least Squares -- chapter 11 Nonparametric Adjustment -- chapter 12 Continuous Variate Adjustment -- chapter 13 Procedural Road Maps -- chapter 14 Model-based and Generalized Representation -- chapter 15 Parameters, Transformations, and Quantiles -- chapter 16 Noncentrality Parameters and Degrees of Freedom -- chapter 17 Parameter-Based Estimation -- chapter 18 Inference and Composite Variates -- chapter 19 Parameters and Test Statistics -- chapter 20 Curve Truncation and the Curve e(x) -- chapter I Models and Notation -- chapter II Variate Independence and Curve Identity -- chapter III General Statistical and Mathematical Notation.
852 8 $blweb$hEBOOKS