Abstract
Statistical model of the domestic portable PC market was developed as a regression model by neural network using structural equation modeling and Monte Carlo simulation. Specification, sensory items like design and usability, street price, and the unit sales were used as parameters of the statistical model. Specification of PCs was obtained from brochures. Sensory items were collected from magazine reports and reviews on WEB sites. The brand and the effect of advertisement were disregarded. With this modeling method, contribution of price, specification and sensory items can be compared simultaneously, and product specification difference can be described as price.
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