Advances in Growth Curve Models (Record no. 95778)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-1-4614-6862-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082826.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461468622
-- 978-1-4614-6862-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4614-6862-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dasgupta, Ratan.
Relator term editor.
245 10 - TITLE STATEMENT
Title Advances in Growth Curve Models
Medium [electronic resource] :
Remainder of title Topics from the Indian Statistical Institute /
Statement of responsibility, etc edited by Ratan Dasgupta.
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 270 p. 147 illus., 73 illus. in color.
Other physical details online resource.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Springer Proceedings in Mathematics & Statistics,
International Standard Serial Number 2194-1009 ;
Volume number/sequential designation 46
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Yam 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.          .
520 ## - SUMMARY, ETC.
Summary, etc Advances 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.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics, general.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical Theory and Methods.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Life Sciences, Medicine, Health Sciences.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461468615
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer Proceedings in Mathematics & Statistics,
-- 2194-1009 ;
Volume number/sequential designation 46
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-6862-2
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