000			01995nam a2200313| 4500
001			83984
005			20211213101735.0
010			_a978-3-319-17329-0 _dcompra
090			_a83984
100			_a20190128d2015 k||y0pory50 ba
101			_aeng
102			_aCH
200			_aGrowth curve and structural equation modeling _bDocumento eletrn̤ico _etopics from the Indian Statistical Institute _fedited by Ratan Dasgupta
210			_aCham _cSpringer International Publishing _d2015
215			_aXII, 299 p. _cil.
225			_aSpringer Proceedings in Mathematics & Statistics _h132
300			_aColocaȯ̂: Online
303			_aThis book describes some recent trends in GCM research on different subject areas, both theoretical and applied. This includes tools and possibilities for further work through new techniques and modification of existing ones. A growth curve is an empirical model of the evolution of a quantity over time. Growth curves in longitudinal studies are used in disciplines including biology, statistics, population studies, economics, biological sciences, sociology, nano-biotechnology, and fluid mechanics. The volume includes original studies, theoretical findings and case studies from a wide range of applied work. This volume builds on presentations from a GCM workshop held at the Indian Statistical Institute, Giridih, January 18-19, 2014. This book follows the volume Advances in Growth Curve Models, published by Springer in 2013. The results have meaningful application in health care, prediction of crop yield, child nutrition, poverty measurements, estimation of growth rate, and other research areas.
410			_x2194-1009 _v132
606			_aEstats̕tica _93627
606			_aEstats̕tica matemt̀ica _91379
680			_aQA276
702			_aDasgupta _bRatan _4340 _933434
801			_gRPC _aPT
856			_uhttps://doi.org/10.1007/978-3-319-17329-0
942			_2lcc _cF _n0