Gompertz Function
The Gompertz function, created by Benjamin Gompertz, models slow growth with a sigmoid curve. It's used in various fields due to its detailed growth analysis capabilities and versatile formula.
Read original articleThe Gompertz function, named after Benjamin Gompertz, is a sigmoid mathematical model describing slow growth at the start and end of a time period. It features a gradual approach to the future value asymptote compared to the lower value asymptote. Originally used for human mortality, it has been adapted for biology, particularly in population studies. Benjamin Gompertz introduced the function in 1825 to simplify life table data into a single function based on exponentially increasing mortality rates with age. The Gompertz curve finds applications in various fields like mobile phone uptake, population dynamics, tumor growth modeling, and disease spread analysis. It is a special case of the generalized logistic function and has properties that allow for detailed analysis of growth patterns. The function's formula and properties, such as the halfway point and maximum rate of increase, make it a versatile tool for modeling growth phenomena accurately.
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