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Showing papers in "Journal of the Japan Statistical Society. Japanese issue in 1987"


Journal ArticleDOI
TL;DR: In this article, changes in belief system, ways of thinking and emotional attitude of the Japanese over 30 years in post-war Japan are statistically discussed as a branch of statistical study of national character.
Abstract: In the present paper, changes in belief system, ways of thinking and emotional attitude of the Japanese over 30 years in post-war Japan are statistically discussed as a branch of statistical study of national character. The data, which are analyzed in the paper, are based on the continuing nation wide random sample surveys which have been conducted every five years over 30 years since 1953 in Japan by the Research Committee on the Study of Japanese National Character of the Institute of Statistical Mathematics. The importance of the changes in belief systems and ways of thinking is insisted. It is remarked that only. the simple tabula tions by various breakdowns and simple cross-tabulations among the 2 or 3 questions do not always reveal the changes of belief systems and ways of thinking. The statistical method or principal component analysis of categorical data, which is called theory of quantification of response pattern (third method of quantification) and equivalent to Benzecri's correspondence analysis, is effectively adopted to reveal them. The con sistency and the features of change of them over 30 years in post-war Japan emerge.

21 citations


















Journal ArticleDOI
TL;DR: In this paper, the least square parameter estimation of an autoregressive integrated moving average (ARIMA) process was studied. But the parameter estimation problem was not addressed for the case of a single integrated process.
Abstract: generated from an autoregressive integrated moving average process are obtained. Some authors dealt with the parameter estimation problem for once integrated proces ses (e.g., see White [12], Fuller [4], Rao [10], Dickey and Fuller [3]). Hasza and Fuller [5] considered this problem for an autoregressive twice integrated process. Kawashima [8] studied the least square parameter estimation of autoregressive integrated moving average