Mathematics of Predicting Growth
Ron W Nielsen

TL;DR
This paper discusses mathematical techniques for analyzing data and predicting growth, focusing on growth rates as functions of time or size, with applications demonstrated through world economic growth.
Contribution
It introduces mathematical methods for analyzing growth data and predicting future growth, applicable across various domains beyond economics.
Findings
Growth rates can be modeled as functions of time or size.
Methods are demonstrated using world economic growth data.
Applicable to diverse types of growth analysis.
Abstract
Mathematical methods of analysis of data and of predicting growth are discussed. The starting point is the analysis of the growth rates, which can be expressed as a function of time or as a function of the size of the growing entity. Application of these methods is illustrated using the world economic growth but they can be applied to any other type of growth.
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Taxonomy
TopicsOptimization and Mathematical Programming · Economic theories and models · Advanced Mathematical Theories
