抄録
Statistics are indispensable for understanding how industries are structured and for developing business strategies. Here, we aim to improve the estimation accuracy in the statistics for the estimated scale of the foodservice market. First, three selected statistical surveys of the foodservice industry were evaluated to determine if they can be used for a new estimation method. Second, a new method was proposed for estimating the scale of the foodservice market. Finally, we assessed the accuracy of the missing-value supplementation in four types of estimation methods. Our results showed that the sales from JF yearbook, a survey of the foodservice industry by Nikkei's Marketing Journal, and the Basic Survey on Small and Medium Enterprises can all be used for estimating the scale of the foodservice market. Moreover, by combining the data from the three surveys and conducting a limited additional survey of the enterprises not included in these surveys, a more reliable estimate for the scale of the foodservice market could be obtained. Finally, it was found that the random forest algorithm was the best unified supplementation method; the highest accuracy can be obtained by applying the most suitable method for each industry and combining the results.
