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Sethi advertising model : ウィキペディア英語版
Sethi model
The Sethi model was developed by Suresh P. Sethi and describes the process of how sales evolve over time in response to advertising. The rate of change in sales depend on three effects: response to advertising that acts positively on the unsold portion of the market, the loss due to forgetting or possibly due to competitive factors that act negatively on the sold portion of the market, and a random effect that can go either way.
Suresh Sethi published his paper "Deterministic and Stochastic Optimization of a Dynamic Advertising Model" in 1983.〔 The Sethi model is a modification as well as a stochastic extension of the Vidale-Wolfe advertising model. The model and its competitive extensions have been used extensively in the literature. Moreover, some of these extensions have been also tested empirically.〔〔〔〔
==Model==

The Sethi advertising model or simply the Sethi model provides a sales-advertising dynamics in the form of the following stochastic differential equation:
: dX_t =\left(rU_t\sqrt - \delta X_t\right)\,dt+\sigma(X_t)\,dz_t, \qquad X_0=x.
Where:
* X_t is the market share at time t
* U_t is the rate of advertising at time t
* r is the coefficient of the effectiveness of advertising
* \delta is the decay constant
* \sigma(X_t) is the diffusion coefficient
* z_t is the Wiener process (Standard Brownian motion); dz_t is known as White noise.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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