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- W2333164014 abstract "The missing response problem is one of the serious problems in Dual Scaling, s well as other methods of multivariate analysis. There are several approaches to handle missing responses in Dual Scaling, but the method of ignoring missing responses, among them, is regarded as more appropriate especially for a data set with many missing responses. The method is proceeded by inserting value os to all categories of missing response. In this paper, we show that the procedure can't give proper solutions, and propose a new kind of algorithm for ignoring missing responses.Furthermore we show the efficiency of the new algorithm, referring to the simulations based on artificial data and also present the application of it to actual data." @default.
- W2333164014 created "2016-06-24" @default.
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- W2333164014 date "1996-01-01" @default.
- W2333164014 modified "2023-10-03" @default.
- W2333164014 title "Dual Scaling for Data with Many Missing Responses" @default.
- W2333164014 doi "https://doi.org/10.2333/jbhmk.23.95" @default.
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