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E-Book

E-Book, Englisch, 464 Seiten, E-Book

Panik Growth Curve Modeling

Theory and Applications
1. Auflage 2014
ISBN: 978-1-118-76394-0
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Theory and Applications

E-Book, Englisch, 464 Seiten, E-Book

ISBN: 978-1-118-76394-0
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Features recent trends and advances in the theory andtechniques used to accurately measure and model growth
Growth Curve Modeling: Theory and Applications featuresan accessible introduction to growth curve modeling and addresseshow to monitor the change in variables over time since there is no"one size fits all" approach to growth measurement. Areview of the requisite mathematics for growth modeling and thestatistical techniques needed for estimating growth models areprovided, and an overview of popular growth curves, such as linear,logarithmic, reciprocal, logistic, Gompertz, Weibull, negativeexponential, and log-logistic, among others, is included.
In addition, the book discusses key application areas includingeconomic, plant, population, forest, and firm growth and issuitable as a resource for assessing recent growth modeling trendsin the medical field. SAS® is utilized throughout to analyzeand model growth curves, aiding readers in estimating specializedgrowth rates and curves. Including derivations of virtually all ofthe major growth curves and models, Growth Curve Modeling:Theory and Applications also features:
* Statistical distribution analysis as it pertains togrowth modeling
* Trend estimations
* Dynamic site equations obtained from growth models
* Nonlinear regression
* Yield-density curves
* Nonlinear mixed effects models for repeated measurementsdata
Growth Curve Modeling: Theory and Applications is anexcellent resource for statisticians, public health analysts,biologists, botanists, economists, and demographers who require amodern review of statistical methods for modeling growth curves andanalyzing longitudinal data. The book is also useful forupper-undergraduate and graduate courses on growth modeling.

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MICHAEL J. PANIK, PhD, is Professor Emeritus in theDepartment of Economics at the University of Hartford. He hasserved as a consultant to the Connecticut Department of MotorVehicles as well as to a variety of healthcare organizations. Inaddition, Dr. Panik is the author of numerous books and journalarticles in the areas of economics, mathematics, and appliedeconometrics.



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