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Article type: Cover
1992 Volume 5 Issue 2 Pages
Cover1-
Published: December 18, 1992
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Article type: Cover
1992 Volume 5 Issue 2 Pages
Cover2-
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Article type: Appendix
1992 Volume 5 Issue 2 Pages
App1-
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Article type: Index
1992 Volume 5 Issue 2 Pages
i-
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Article type: Index
1992 Volume 5 Issue 2 Pages
ii-
Published: December 18, 1992
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Hideyuki Imai, Yoshiharu Sato
Article type: Article
1992 Volume 5 Issue 2 Pages
101-106
Published: December 18, 1992
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Projection pursuit is a computer-intensive method for statistical analysis which intends to clarify property of multivariate data by projecting them onto a lower-dimensional subspace. In practice, the projection pursuit is performed based on an algorithm to find a lower-dimensional subspace by maximizing an objective function called projection index which is a measure of interestingness of the projected data. In this paper, we try to evaluate how the direction of projection determined in the process of the projection pursuit is affected by perturbation of the data points.
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Masahiro Mizuta
Article type: Article
1992 Volume 5 Issue 2 Pages
107-115
Published: December 18, 1992
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This paper presents a method for fitting the quadratic curve which has the least-squares distance from two variable data. Fitting of smooth curves is one of the most important themes in pattern recognition and data analysis. Simple, multiple or multivariate regression analyses are in use for a data set consists of observations on some variables which can be classified into response and explanatory ones. But, there are few analyses that work well for a data set whose variables can not be distinguished between response and explanatory. For such data set, a straight line, which has least sum of square distances from data points, is obtained by using principal component analysis. We extend the principal component analysis to the fitting of quadratic curve and show performance of the proposed method by a numerical example.
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Takao Soda, Takenobu Tasaki, Masashi Goto
Article type: Article
1992 Volume 5 Issue 2 Pages
117-126
Published: December 18, 1992
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Hazard models that link covariates to hazard function of survival distribution are roughly classified into multiplicative and additive ones. The well-known proportional hazard model used widely in survival study, is a specia1 one of the multiplicative models. In this paper, we examine the adequacy to evaluate the effect of covariates on survival time by means of the multip1icative models (or especia11y, the proportional hazard model), based on the fitting of a comprehensive model, i.e. data adaptive hazard model, which includes additive and multip1icative models as special cases. Further, we examine the goodness of fit of a model, i.e. genera1ized additive proportional hazard model which extends linear predictor into additive one, in order to diagnose the adequacy of the proportional hazard model within the frame of the multiplicative models. Comparing the results from the fittings of the generalized additive and the proportional hazard models, we evaluate the adequacy to express the effect of covariates on survival by the proportional hazard model uti11zing a few practical examples. As a result, it is seen that the data adaptive model is useful to diagnose the goodness of fit of the multip1icative models, especially the proportional hazard model. It is also seen that the fitting of the generalized additive proportional hazard mode1 is useful to examine "linearity" assumption in the proportional hazard model
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Takenobu Tasaki, Masami Zaizen, Masashi Goto
Article type: Article
1992 Volume 5 Issue 2 Pages
127-148
Published: December 18, 1992
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Multiple comparison procedures have commonly been used to compare several sample means in the area of app1ied statistics. Though such a procedure generally repeats many tests, it is often difficult to interpret the results of the procedures and to derive unified conclusion. We discuss sample mean clustering methods as substitutes of the multiple comparison procedures. In particular we deal with the six clustering methods discussed in Tasaki et al. (1987) and a mixture model approach in McLachlan & Basford (1988). For the hierarchical methods of these it is useful to summarize their results in dendrograms. We propose a modified method to represent dendrograms that is suitable for comparing sample means, and a graphical method to represent the goodness of fit of the mixture model. Then we compare the performance of the seven clustering methods and their associated graphical ones through reanalyses of three sets of data from pub1ished 1iterature.
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Toshiaki Kimura
Article type: Article
1992 Volume 5 Issue 2 Pages
149-155
Published: December 18, 1992
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Junji Kishimoto
Article type: Article
1992 Volume 5 Issue 2 Pages
157-160
Published: December 18, 1992
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Tomoyuki Tarumi
Article type: Article
1992 Volume 5 Issue 2 Pages
161-164
Published: December 18, 1992
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Hirofumi Takagi
Article type: Article
1992 Volume 5 Issue 2 Pages
165-169
Published: December 18, 1992
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Shinichi Toshimitsu, Toshiyuki Okumura
Article type: Article
1992 Volume 5 Issue 2 Pages
171-174
Published: December 18, 1992
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Kishio Hara, Koichi Umesawa
Article type: Article
1992 Volume 5 Issue 2 Pages
175-177
Published: December 18, 1992
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Yoshiharu Sato
Article type: Article
1992 Volume 5 Issue 2 Pages
179-
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
179-
Published: December 18, 1992
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[in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
180-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
180-
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
180-
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
180-181
Published: December 18, 1992
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S. P. Azen
Article type: Article
1992 Volume 5 Issue 2 Pages
181-
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
181-
Published: December 18, 1992
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[in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
181-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
181-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
181-
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
181-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
181-182
Published: December 18, 1992
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[in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
182-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
182-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
182-
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
182-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
182-183
Published: December 18, 1992
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[in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
183-
Published: December 18, 1992
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[in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
183-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
183-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
183-184
Published: December 18, 1992
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[in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
184-
Published: December 18, 1992
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
1992 Volume 5 Issue 2 Pages
184-
Published: December 18, 1992
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Yutaka Tanak, Takahiro Sato
Article type: Article
1992 Volume 5 Issue 2 Pages
185-
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Takao Shohoji
Article type: Article
1992 Volume 5 Issue 2 Pages
186-190
Published: December 18, 1992
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Takeaki Nagai, Yasunori Uragari
Article type: Article
1992 Volume 5 Issue 2 Pages
191-193
Published: December 18, 1992
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Atsuhiro Hayashi
Article type: Article
1992 Volume 5 Issue 2 Pages
194-196
Published: December 18, 1992
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Chikio Hayashi
Article type: Article
1992 Volume 5 Issue 2 Pages
197-199
Published: December 18, 1992
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Mika Sato
Article type: Article
1992 Volume 5 Issue 2 Pages
200-
Published: December 18, 1992
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Eiichi Ohashi
Article type: Article
1992 Volume 5 Issue 2 Pages
200-201
Published: December 18, 1992
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Yoshiyasu Tamura
Article type: Article
1992 Volume 5 Issue 2 Pages
201-202
Published: December 18, 1992
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Kyoko Inoue
Article type: Article
1992 Volume 5 Issue 2 Pages
202-203
Published: December 18, 1992
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Takashi Igarashi
Article type: Article
1992 Volume 5 Issue 2 Pages
203-204
Published: December 18, 1992
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Article type: Index
1992 Volume 5 Issue 2 Pages
205-209
Published: December 18, 1992
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