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  2. Compound annual growth rate - Wikipedia

    en.wikipedia.org/wiki/Compound_annual_growth_rate

    Compound annual growth rate (CAGR) is a business, economics and investing term representing the mean annualized growth rate for compounding values over a given time period. [ 1 ] [ 2 ] CAGR smoothes the effect of volatility of periodic values that can render arithmetic means less meaningful.

  3. Template:Per annum growth rate - Wikipedia

    en.wikipedia.org/wiki/Template:Per_annum_growth_rate

    This template calculates the per annum compound growth rate given two pairs of years and populations (or other time periods and units) using:

  4. Euler–Lotka equation - Wikipedia

    en.wikipedia.org/wiki/Euler–Lotka_equation

    In the study of age-structured population growth, probably one of the most important equations is the Euler–Lotka equation.Based on the age demographic of females in the population and female births (since in many cases it is the females that are more limited in the ability to reproduce), this equation allows for an estimation of how a population is growing.

  5. Doubling time - Wikipedia

    en.wikipedia.org/wiki/Doubling_time

    For example, with an annual growth rate of 4.8% the doubling time is 14.78 years, and a doubling time of 10 years corresponds to a growth rate between 7% and 7.5% (actually about 7.18%). When applied to the constant growth in consumption of a resource, the total amount consumed in one doubling period equals the total amount consumed in all ...

  6. Benjamin Graham formula - Wikipedia

    en.wikipedia.org/wiki/Benjamin_Graham_formula

    = the value expected from the growth formulas over the next 7 to 10 years = trailing twelve months earnings per share = P/E base for a no-growth company = reasonably expected 7 to 10 year growth rate (see Sustainable growth rate § From a financial perspective)

  7. Logistic function - Wikipedia

    en.wikipedia.org/wiki/Logistic_function

    The standard logistic function is the logistic function with parameters =, =, =, which yields = + = + = / / + /.In practice, due to the nature of the exponential function, it is often sufficient to compute the standard logistic function for over a small range of real numbers, such as a range contained in [−6, +6], as it quickly converges very close to its saturation values of 0 and 1.