Ebook: Advances in Growth Curve Models: Topics from the Indian Statistical Institute
- Tags: Statistics general, Statistical Theory and Methods, Statistics for Life Sciences Medicine Health Sciences
- Series: Springer Proceedings in Mathematics & Statistics 46
- Year: 2013
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xiii
Yam Growth Experiment and Above-Ground Biomass as Possible Predictor....Pages 1-33
Some Statistical Perspectives of Growth Models in Health Care Plans....Pages 35-48
Testing of Growth Curves with Cubic Smoothing Splines....Pages 49-59
Nonuniform Rates of Convergence to Normality for Two-Sample U-Statistics in Non IID Case with Applications....Pages 61-88
Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation....Pages 89-99
Optimal-Time Harvest of Elephant Foot Yam and Related Theoretical Issues....Pages 101-129
Evolution of Scour and Velocity Fluctuations Due to Turbulence Around Cylinders....Pages 131-148
South Pole Ozone Profile and Lower Tolerance Limit....Pages 149-170
A New Technique for Estimating Population Distribution of Growth Curve Parameters with Longitudinal and Cross-sectional Data....Pages 171-183
Tuber Crop Growth and Pareto Model....Pages 185-197
Effect of Past Demographic Events on the mtDNA Diversity Among the Adi Tribe of Arunachal Pradesh, India....Pages 199-214
Growth Curve Model in Relation to Extremal Processes Based on Stationary Random Variables....Pages 215-226
Projection of Indian Population by Using Leslie Matrix with Changing Age Specific Mortality Rate, Age Specific Fertility Rate and Age Specific Marital Fertility Rate....Pages 227-240
Growth Curve Analysis of Cumulative Automobile Defects....Pages 241-256
Growth and Nutritional Status of Pre-School Children: A Comparative Study of Jharkhand, Bihar and West Bengal....Pages 257-270
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.
Content:
Front Matter....Pages i-xiii
Yam Growth Experiment and Above-Ground Biomass as Possible Predictor....Pages 1-33
Some Statistical Perspectives of Growth Models in Health Care Plans....Pages 35-48
Testing of Growth Curves with Cubic Smoothing Splines....Pages 49-59
Nonuniform Rates of Convergence to Normality for Two-Sample U-Statistics in Non IID Case with Applications....Pages 61-88
Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation....Pages 89-99
Optimal-Time Harvest of Elephant Foot Yam and Related Theoretical Issues....Pages 101-129
Evolution of Scour and Velocity Fluctuations Due to Turbulence Around Cylinders....Pages 131-148
South Pole Ozone Profile and Lower Tolerance Limit....Pages 149-170
A New Technique for Estimating Population Distribution of Growth Curve Parameters with Longitudinal and Cross-sectional Data....Pages 171-183
Tuber Crop Growth and Pareto Model....Pages 185-197
Effect of Past Demographic Events on the mtDNA Diversity Among the Adi Tribe of Arunachal Pradesh, India....Pages 199-214
Growth Curve Model in Relation to Extremal Processes Based on Stationary Random Variables....Pages 215-226
Projection of Indian Population by Using Leslie Matrix with Changing Age Specific Mortality Rate, Age Specific Fertility Rate and Age Specific Marital Fertility Rate....Pages 227-240
Growth Curve Analysis of Cumulative Automobile Defects....Pages 241-256
Growth and Nutritional Status of Pre-School Children: A Comparative Study of Jharkhand, Bihar and West Bengal....Pages 257-270
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