LEADER 01006nam 2200349 450 001 990003697730203316 005 20121011141433.0 035 $a000369773 035 $aUSA01000369773 035 $a(ALEPH)000369773USA01 035 $a000369773 100 $a20121011d2007----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aGiolitti e l'antigiolittismo$fNicola D'Apolito 210 $aMelfi$cTarsia$d[2007?] 215 $aVIII, 261 p.$d21 cm 225 2 $aQuaderno$v15 410 0$12001$aQuaderno$v, 15 600 1$aGiolitti,$bGiovanni <1842-1928>$xPolitica$2BNCF 676 $a945.0912 700 1$aD'APOLITO,$bNicola$0613105 801 0$aIT$bsalbc$gISBD 912 $a990003697730203316 951 $aX.3.B. 6644$b237315 L.M.$cX.3.B.$d00316771 959 $aBK 969 $aUMA 979 $aCHIARA$b90$c20121011$lUSA01$h1413 979 $aCHIARA$b90$c20121011$lUSA01$h1414 996 $aGiolitti e l'antigiolittismo$91142138 997 $aUNISA LEADER 04298nam 2200601Ia 450 001 9910438144003321 005 20200520144314.0 010 $a1-4614-6862-0 024 7 $a10.1007/978-1-4614-6862-2 035 $a(CKB)2670000000530460 035 $a(EBL)1398409 035 $a(OCoLC)858763637 035 $a(SSID)ssj0000962468 035 $a(PQKBManifestationID)11974938 035 $a(PQKBTitleCode)TC0000962468 035 $a(PQKBWorkID)10970256 035 $a(PQKB)11742082 035 $a(DE-He213)978-1-4614-6862-2 035 $a(MiAaPQ)EBC1398409 035 $a(PPN)172418712 035 $a(EXLCZ)992670000000530460 100 $a20130805d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in growth curve models $etopics from the Indian Statistical Institute /$fRatan Dasgupta, editor 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (278 p.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v46 300 $aDescription based upon print version of record. 311 $a1-4614-6861-2 311 $a1-4899-9275-8 320 $aIncludes bibliographical references. 327 $aYam Growth Experiment and Above-ground Biomass as Possible Predictor -- Some Statistical Perspectives of Growth Models in Health Care Plans -- Testing of Growth Curves with Cubic Smoothing Splines -- Non uniform Rates of Convergence to Normality for Two sample U-statistics in Non IID Case with Applications -- Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation -- Optimal-Time Harvest of Elephant Foot Yam and Related Theoretical Issues -- Evolution of Scour and velocity fluctuation due to turbulence around cylinders -- South Pole Ozone Profile and Lower Tolerance Limit -- Population Distribution of Human Growth Curve Parameters Through a Combination of Longitudinal and Cross-sectional Data -- Tuber Crop Growth and Pareto Model -- Effect of past demographic events on the mtDNA mismatch distribution among the Adi tribe of Arunachal Pradesh, India -- Growth Curve Model in Relation to Extremal Processes based on Stationary Random Variables -- A Method of Population Projection by Using Leslie Matrix in Indian Context -- Indian Statistical Institute and Tata Motors Pune: Growth curve for cumulative defects -- Growth and Nutritional Status of Pre-school Children: A Comparative Study of Jharkhand, Bihar and West Bengal.          . 330 $aAdvances in Growth Curve Models: Topics from the Indian Statistical Institute is developed from the Indian Statistical Institute's A National Conference on Growth Curve Models. This conference took place between March 28-30, 2012 in Giridih, Jharkhand, India. Jharkhand is a tribal area. Advances in Growth Curve Models: Topics from the Indian Statistical Institute shares  the work of researchers in growth models used in multiple fields.  A growth curve is an empirical model of the evolution of a quantity over time. Case studies and theoretical findings, important applications in everything from health care to population projection, form the basis of this volume. Growth curves in longitudinal studies are widely used in many disciplines including: Biology, Population studies, Economics, Biological Sciences, SQC, Sociology, Nano-biotechnology, and Fluid mechanics. Some included reports are research topics that have just been developed, whereas others present advances in existing literature. Both included tools and techniques will assist students and researchers in their future work. Also included is a discussion of future applications of growth curve models.  . 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1009 ;$v46 606 $aBiometry 606 $aLinear models (Statistics) 615 0$aBiometry. 615 0$aLinear models (Statistics) 676 $a519.53 701 $aDasgupta$b Ratan$01758211 712 02$aIndian Statistical Institute. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438144003321 996 $aAdvances in growth curve models$94196368 997 $aUNINA