Abstract
Statistical analysis of the portable PC sales was accomplished using a structural equation modeling, a Monte Carlo simulation and a regression by neural network. The effect of the specification, the design, usability and the price on the sales of portable PC was examined based on the real market data which indicated the top 200 sales models over the fourteen week. From the present modeling method, the contribution of the price, the specification and the sensory items on the sales could be compared simultaneously. The product specification difference could be described as the price. A part of the product value of the portable PC could be visualized.
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