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Advances in growth curve models : topics from the Indian Statistical Institute

Author: Ratan Dasgupta
Publisher: New York : Springer, ©2013.
Series: Springer proceedings in mathematics & statistics, v.46.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
"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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Dasgupta, Ratan.
Advances in Growth Curve Models : Topics from the Indian Statistical Institute.
Dordrecht : Springer, ©2013
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ratan Dasgupta
ISBN: 9781461468622 1461468620 1461468612 9781461468615
OCLC Number: 856584407
Description: 1 online resource (xiii, 270 pages).
Contents: Yam Growth Experiment and Above-Ground Biomass as Possible Predictor / Ratan Dasgupta --
Some Statistical Perspectives of Growth Models in Health Care Plans / Pranab K. Sen --
Testing of Growth Curves with Cubic Smoothing Splines / Tapio Nummi, Nicholas Mesue --
Nonuniform Rates of Convergence to Normality for Two-Sample U-Statistics in Non IID Case with Applications / Ratan Dasgupta --
Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation / P.S.S.N.V.P. Rao, Bikas K. Sinha --
Optimal-Time Harvest of Elephant Foot Yam and Related Theoretical Issues / Ratan Dasgupta --
Evolution of Scour and Velocity Fluctuations Due to Turbulence Around Cylinders / H. Maity, R. Dasgupta, B.S. Mazumder --
South Pole Ozone Profile and Lower Tolerance Limit / Ratan Dasgupta. A New Technique for Estimating Population Distribution of Growth Curve Parameters with Longitudinal and Cross-sectional Data / Sedigheh Mirzaei Salehabadi, Debasis Sengupta --
Tuber Crop Growth and Pareto Model / Ratan Dasgupta --
Effect of Past Demographic Events on the mtDNA Diversity Among the Adi Tribe of Arunachal Pradesh, India / S. Krithika, T.S. Vasulu --
Growth Curve Model in Relation to Extremal Processes Based on Stationary Random Variables / Ratan Dasgupta --
Projection of Indian Population by Using Leslie Matrix with Changing Age Specific Mortality Rate, Age Specific Fertility Rate and Age Specific Marital Fertility Rate / Prasanta Pathak, Vivek Verma --
Growth Curve Analysis of Cumulative Automobile Defects / Ratan Dasgupta, Avinash Dharmadhikari --
Growth and Nutritional Status of Pre-School Children: A Comparative Study of Jharkhand, Bihar and West Bengal / Susmita Bharati, Manoranjan Pal, Premananda Bharati.
Series Title: Springer proceedings in mathematics & statistics, v.46.
Responsibility: Ratan Dasgupta, editor.

Abstract:

"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."--Publisher's website.

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