國立虎尾科技大學 |

Growth curve models and applications = Indian Statistical Institute, Giridih, India, March 28-29, 2016 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Growth curve models and applications/ edited by Ratan Dasgupta.
其他題名:	Indian Statistical Institute, Giridih, India, March 28-29, 2016 /
其他作者:	Dasgupta, Ratan.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xvii, 253 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Mathematical statistics -
電子資源:	http://dx.doi.org/10.1007/978-3-319-63886-7
ISBN:	9783319638867

Growth curve models and applications = Indian Statistical Institute, Giridih, India, March 28-29, 2016 /
Growth curve models and applicationsIndian Statistical Institute, Giridih, India, March 28-29, 2016 /[electronic resource] :edited by Ratan Dasgupta. - Cham :Springer International Publishing :2017. - xvii, 253 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.2042194-1009 ;. - Springer proceedings in mathematics & statistics ;v.24..

Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general statistics, economics, public health, demographics, epidemiology, SQC, sociology, nano-biotechnology, fluid mechanics, and other applied areas. There is no one-size-fits-all approach to growth measurement. The selected papers in this volume build on presentations from the GCM workshop held at the Indian Statistical Institute, Giridih, on March 28-29, 2016. They represent recent trends in GCM research on different subject areas, both theoretical and applied. This book includes tools and possibilities for further work through new techniques and modification of existing ones. The volume includes original studies, theoretical findings and case studies from a wide range of app lied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field. Theoretical findings and case studies are reported from a wide range of fundamental and applied work across the broad range of natural sciences that comprise Growth Curve Modeling Methodology is particularly relevant to health care, prediction of crop yield, child nutrition, poverty measurements, and estimation of growth rate in any given scenario All papers feature original, peer-reviewed content Ratan Dasgupta, Ph.D., is Professor at the Indian Statistical Institute, Kolkata. Apart from his Ph.D topic on rates of convergence in CLT, his areas of research interest include applications of Statistics in Quality Control, fluid mechanics, environment, physics, and other areas of applied statistics. He has published roughly 70 research papers.

ISBN: 9783319638867

Standard No.: 10.1007/978-3-319-63886-7doiSubjects--Topical Terms:

682993
Mathematical statistics

LC Class. No.: QA276.A1 / W67 2016

Dewey Class. No.: 519.5

Growth curve models and applications = Indian Statistical Institute, Giridih, India, March 28-29, 2016 /
LDR:02915nam a2200313 a 4500 001 924343
003 DE-He213
005 20180328110922.0
006 m d
007 cr nn 008maaau
008 190625s2017 gw s 0 eng d
020 $a 9783319638867 $q (electronic bk.)
020 $a 9783319638850 $q (paper)
024 7 $a 10.1007/978-3-319-63886-7 $2 doi
035 $a 978-3-319-63886-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.A1 $b W67 2016
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a QA276.A1 $b W926 2016
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Growth curve models and applications $h [electronic resource] : $b Indian Statistical Institute, Giridih, India, March 28-29, 2016 / $c edited by Ratan Dasgupta.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a xvii, 253 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1009 ; $v v.204
520 $a Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general statistics, economics, public health, demographics, epidemiology, SQC, sociology, nano-biotechnology, fluid mechanics, and other applied areas. There is no one-size-fits-all approach to growth measurement. The selected papers in this volume build on presentations from the GCM workshop held at the Indian Statistical Institute, Giridih, on March 28-29, 2016. They represent recent trends in GCM research on different subject areas, both theoretical and applied. This book includes tools and possibilities for further work through new techniques and modification of existing ones. The volume includes original studies, theoretical findings and case studies from a wide range of app lied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field. Theoretical findings and case studies are reported from a wide range of fundamental and applied work across the broad range of natural sciences that comprise Growth Curve Modeling Methodology is particularly relevant to health care, prediction of crop yield, child nutrition, poverty measurements, and estimation of growth rate in any given scenario All papers feature original, peer-reviewed content Ratan Dasgupta, Ph.D., is Professor at the Indian Statistical Institute, Kolkata. Apart from his Ph.D topic on rates of convergence in CLT, his areas of research interest include applications of Statistics in Quality Control, fluid mechanics, environment, physics, and other areas of applied statistics. He has published roughly 70 research papers.
650 0 $a Mathematical statistics $3 682993
650 1 4 $a Statistics. $3 556824
650 2 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Biostatistics. $3 783654
650 2 4 $a Statistics and computing/Statistics Programs. $3 1111738
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 669275
700 1 $a Dasgupta, Ratan. $3 1077851
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Springer proceedings in mathematics & statistics ; $v v.24. $3 883338
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-63886-7
950 $a Mathematics and Statistics (Springer-11649)