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020 _a9783319173290
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024 7 _a10.1007/978-3-319-17329-0
_2doi
035 _ato000559529
040 _aSpringer
_cSpringer
_dRU-ToGU
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082 0 4 _a519.5
_223
245 1 0 _aGrowth Curve and Structural Equation Modeling
_helectronic resource
_bTopics from the Indian Statistical Institute /
_cedited by Ratan Dasgupta.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 299 p. 169 illus., 98 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v132
505 0 _aPlant Sensitivity and Growth Curve Analysis of Elephant Foot Yam.-  Some remarks on pseudo panel data -- Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve -- Estimation of animal abundance through imperfectly characterizing signatures -- Growth Curve of Elephant Foot Yam, One sided Estimation and Confidence Band -- Interrelationship between Economic Growth and Income Inequality: The Indian Experience -- Growth Curve reconstruction in Damaged Experiment via Nonlinear Calibration -- Growth Curve of Phase change in presence of Polycystic Ovary Syndrome -- Declining patterns of average height of adult Indians between 20-49 years: State wise trends and influence of socioeconomic factors -- Growth Model of some Vernacular Word Usage during Political Transition -- Some Further Results on Nonuniform Rates of Convergence to Normality in Finite Population with applications -- Unbounded Growth Model for Word Frequencies in Political Transition -- A Statistical Analysis of micro RNA: classification, identification and conservation based on structure and function -- Longitudinal Growth of Elephant Foot Yam and Some Characterization Theorems- Optimal Choice of Small Regular Shapes for Accidentally Damaged Tessellation.
520 _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.
650 0 _aStatistics.
_9124796
650 1 4 _aStatistics.
_9124796
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
_9265982
650 2 4 _aStatistical Theory and Methods.
_9303276
650 2 4 _aStatistics, general.
_9305490
700 1 _aDasgupta, Ratan.
_eeditor.
_9465520
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aSpringer Proceedings in Mathematics & Statistics,
_9445420
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-17329-0
912 _aZDB-2-SMA
999 _c413942