By Michael J. Panik
Features contemporary traits and advances within the concept and strategies used to correctly degree and version growth
Growth Curve Modeling: conception and Applications good points an available creation to development curve modeling and addresses tips on how to visual display unit the switch in variables over the years due to the fact that there's no “one measurement suits all” method of development dimension. A evaluate of the considered necessary arithmetic for progress modeling and the statistical thoughts wanted for estimating development types are supplied, and an summary of well known progress curves, equivalent to linear, logarithmic, reciprocal, logistic, Gompertz, Weibull, detrimental exponential, and log-logistic, between others, is included.
In addition, the booklet discusses key software parts together with fiscal, plant, inhabitants, woodland, and enterprise development and is appropriate as a source for assessing contemporary progress modeling traits within the scientific box. SAS® is applied all through to research and version progress curves, assisting readers in estimating really expert progress premiums and curves. together with derivations of just about all the significant progress curves and types, Growth Curve Modeling: conception and Applications additionally features:
• Statistical distribution research because it relates to development modeling
• development estimations
• Dynamic web site equations bought from development models
• Nonlinear regression
• Yield-density curves
• Nonlinear combined results types for repeated measurements data
Growth Curve Modeling: concept and Applications is a wonderful source for statisticians, public overall healthiness analysts, biologists, botanists, economists, and demographers who require a latest evaluation of statistical tools for modeling development curves and reading longitudinal information. The e-book can be invaluable for upper-undergraduate and graduate classes on development modeling.
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Additional info for Growth Curve Modeling: Theory and Applications
Growth Curve Modeling: Theory and Applications by Michael J. Panik