Download scientific diagram | Life cycle bell-shaped curve and S-curve of cumulative growth. In most cases, applying an S-curve for forecasting induces the correct measurement of the growth process that in turn can be applied to identify the law of natural growth quantitatively and to reveal the value of the ceiling (upper limits of growth) and steepness of the growth (slope of curve). Obviously, the more precise the data and the bigger the section of the S-curve they cover leads to a lower level of uncertainties [6]. In other words, one can identify a more accurate ceiling and steepness with a larger data set. This effect causes some difficulties in applying an S-curve forecast for emerging technologies, which have not yet passed the "infant mortality" threshold (when the ratio of new to old technology has not reached 0.1). from publication: Application of S-Shaped Curves | This paper deals with the application of S-shaped curves in the contexts of inventive problem solving, innovation and technology forecasts. After explaining the origin of the logistic S-curve its application, as seen in publications from different domains, is reviewed. | SPI, Engineering Science and Jurisprudence | ResearchGate, the professional network for scientists.
Schematic diagram of a simple logistic S-curve, defined by three
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