Growth Curve Modeling: Theory and Applications

Name: Growth Curve Modeling: Theory and Applications
Brand: Wiley
SKU: 9781118764046
Price: 10884.0 INR
Availability: InStock

by Michael J. Panik

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ISBN13: 9781118764046
Binding: Hardcover
Subject: Mathematics and Statistics
Publisher: Wiley
Publisher Imprint: N/A
Publication Date: February 1, 2014
Pages: 454
Original Price: USD 160.95
Language: English
Edition: N/A
Item Weight: 770 grams
BISAC Subject(s): Probability & Statistics / Regression Analysis

About The Book

Features recent trends and advances in the theory and techniques used to accurately measure and model growth

Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no "one size fits all" approach to growth measurement. A review of the requisite mathematics for growth modeling and the statistical techniques needed for estimating growth models are provided, and an overview of popular growth curves, such as linear, logarithmic, reciprocal, logistic, Gompertz, Weibull, negative exponential, and log-logistic, among others, is included.

In addition, the book discusses key application areas including economic, plant, population, forest, and firm growth and is suitable as a resource for assessing recent growth modeling trends in the medical field. SAS(R) is utilized throughout to analyze and model growth curves, aiding readers in estimating specialized growth rates and curves. Including derivations of virtually all of the major growth curves and models, Growth Curve Modeling: Theory and Applications also features:

- Statistical distribution analysis as it pertains to growth modeling
- Trend estimations
- Dynamic site equations obtained from growth models
- Nonlinear regression
- Yield-density curves
- Nonlinear mixed effects models for repeated measurements data

Growth Curve Modeling: Theory and Applications is an excellent resource for statisticians, public health analysts, biologists, botanists, economists, and demographers who require a modern review of statistical methods for modeling growth curves and analyzing longitudinal data. The book is also useful for upper-undergraduate and graduate courses on growth modeling.

About The Author

MICHAEL J. PANIK, PHD, is Professor Emeritus in the Department of Economics at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of healthcare organizations. In addition, Dr. Panik is the author of numerous books and journal articles in the areas of economics, mathematics, and applied econometrics.

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