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Simulation Programming and Analysis

How confident are you about uncertainty?

Simulations programming can be used to find mathematical problems that cannot easily be solved. The profit distribution of your business is one good example.

Monte Carlo Simulation Programming

A Monte Carlo algorithm is often used to find solutions to mathematical problems (which may have many variables) that cannot be easily solved. This Monte Carlo simulation section illustrates two examples of how Excel VBA can be utilized for building simulation models, specifically in hydraulic engineering and market analysis.

Monte Carlo Simulation Example (1)

The hydraulic engineering simulation project utilized Pearson Type III distribution. Provided the mean, standard deviation, skewness, and other inputs, the discharge-frequency curve with 95% confidence interval uncertainty bans is constructed. The screen shot is shown on Figure 1. below.

Fig 1. Screen shot of the hydraulic simulation project


Monte Carlo Simulation Example (2)

This model is taken from our XL Modeling VBA program. Given the market assumption, profit equation, and input variables distributions (uniform, normal, and truncate normal), we derived the probability distribution of the profit and generate the histogram.

From the probability distribution, we can obtain the probability of the profit that excesses any given number of value. We can also obtain the median and average of the profit from the distribution.

Fig 2. Screen shot of the profit/market simulation program

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Database Marketing

Database marketing emphasizes the use of statistical techniques and data analyses to develop models of customer behavior, which are then used to select customers for communications. The benefit of database marketing is the ability to target marketing efforts. Companies can concentrate their marketing effort on customers that are most likely to buy. Through continually gathers, refines, and analyzes data about the customers, their buying history, prospects, past marketing efforts, demographics, data can be turned into information that supports all marketing and sales programs.

A database marketer send targeted promotions to any segment of their customer and prospect lists, measure the value of their individual customers and track promotional efforts, measure responses, purchases, and the return on investment for every dollar spent on their promotional efforts.
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