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The Japanese Journal of Behaviormetrics最新文献

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A Study on the Relations between Elements to Improve Basic Abilities Required to Function as a Member of Society of University Students of Science and Technology 提高理工科大学生社会成员基本能力要素关系研究
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.39.11
M. Tsubaki, Youhei Matsuda, Y. Doi, Yuuki Noguchi
{"title":"A Study on the Relations between Elements to Improve Basic Abilities Required to Function as a Member of Society of University Students of Science and Technology","authors":"M. Tsubaki, Youhei Matsuda, Y. Doi, Yuuki Noguchi","doi":"10.2333/JBHMK.39.11","DOIUrl":"https://doi.org/10.2333/JBHMK.39.11","url":null,"abstract":"","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132317978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
USERS' NEEDS FOR A COMPETENT MULTIVARIATE ANALYSIS: TOWARD A TOUGH AND BETTER HANDLING METHOD 用户对胜任的多变量分析的需求:走向强硬和更好的处理方法
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.19.40
T. Kinoshita
{"title":"USERS' NEEDS FOR A COMPETENT MULTIVARIATE ANALYSIS: TOWARD A TOUGH AND BETTER HANDLING METHOD","authors":"T. Kinoshita","doi":"10.2333/JBHMK.19.40","DOIUrl":"https://doi.org/10.2333/JBHMK.19.40","url":null,"abstract":"In the last decade, the field of multivariate analysis has shown remarkable development. However, some of the method could not satisfy users' needs for getting a tough and better handling tool. The purpose of this article is to make clear the contents of users' needs and communicate them to makers and developers for their information. 82 subjects(mostly social psychologists)were asked by questionnaire method what kinds of dissatisfaction they experienced in using multivariate analyses. The questionnaire considered the10methods: factor analysis, principal component analysis, canonical correlation analysis, multiple regression analysis, analysis of covariance, discriminant analysis, cluster analysis, theory of quantification, LISREL, and MDS. Users reported wanting methods which are:(1)less mathematically sophisticated than tough and stable, (2)able to analyze a formation and change of interacting processes, (3)not restricted by excessive mathematical assumptions, (4)supported by systems which easily select the best method out of a complex program package. The users also wanted to know(5)the limitations of each application rather than the usefulness of the method, and(6)criteria for selecting the most suitable method for the data.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134128507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multi-Split Tree Structured Method in Survival Analysis 生存分析中的多分裂树结构方法
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.34.1
T. Eto, oshio Shimokawa, M. Goto
{"title":"A Multi-Split Tree Structured Method in Survival Analysis","authors":"T. Eto, oshio Shimokawa, M. Goto","doi":"10.2333/JBHMK.34.1","DOIUrl":"https://doi.org/10.2333/JBHMK.34.1","url":null,"abstract":"In survival analysis, it is one of important subjects to explore influencing factors on prognosis of relevant diseases. The useful tool for exploration of the factors is tree structured method. In this paper, we proposed a multi-split tree structured method. Then, we can present the complicated interactions of those influencing factors on prognosis using graphical display. Then, we evaluated performance of the multi-split tree structured method by using certain literature examples and conducting simulation. As a result, the multi-split tree had the small number of terminal nodes rather than ordinary binary-split tree. When true tree structure had many (rather than two) branches, total mean squared error of estimated hazard of the multi-split tree structured method was less than one of the binary-split tree structured method. That is, the performance of the former was superior to one of the latter. Moreover, we can use the multi-split tree structured method in order to diagnose the result of the binary-split tree structured method.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131006794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Study on Logit Models for Generalized Rating Forecasting of Business Corporates 企业评级广义预测的Logit模型研究
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.33.69
Yoshikazu Sakamaki
{"title":"A Study on Logit Models for Generalized Rating Forecasting of Business Corporates","authors":"Yoshikazu Sakamaki","doi":"10.2333/JBHMK.33.69","DOIUrl":"https://doi.org/10.2333/JBHMK.33.69","url":null,"abstract":"Under the current financial and economic situation, risk control of financial institutes is becoming one of the most significant factors to stabilize the economic condition. One of the most important methods for risk controlling is the evaluation of rating for each company, and now a generalized linear regression model such as the ordered logit model has been widely used in the preceding studies of the rating forecasting model.     In statistical modeling, the multi-nominal logit model as well as many other models have been developed from the multi-nominal logit model and are expected to decrease the I.I.A. (Independence from Irrelevant Alternatives) assumption. However, these models have not usually been used in the study of rating forecasting model so far.     In this study, we will construct a rating forecasting model based on the normal ordered logit model, multi-nominal logit model and nested logit model, and compare the model performance among these models. Finally, we will confirm the validity of these models by applying them to actual publicly disclosed rating data.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131162920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ARTIFICIAL DATA SETS FOR HAYASHI'S THIRD METHOD OF QUANTIFICATION 人工数据集为hayashi的第三种量化方法
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.19.75
M. Okamoto
{"title":"ARTIFICIAL DATA SETS FOR HAYASHI'S THIRD METHOD OF QUANTIFICATION","authors":"M. Okamoto","doi":"10.2333/JBHMK.19.75","DOIUrl":"https://doi.org/10.2333/JBHMK.19.75","url":null,"abstract":"数量化法第3類について提出されたOtsu(1990)の1次元構造データを2つの母数をもつデータ族に一般化する.次に2次元構造をもつ人工データを提出する.四角型と三角型の2つを考えるとき,ともに第1軸は2次元構造の長さを表し,第2次元である幅は第2軸以降に現れる.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131053616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
STABLE PARAMETER ESTIMATION IN CANONICAL CORRELATION MODEL BY MEANS OF STRUCTURED COVARIANCE MATRICES 用结构协方差矩阵估计典型相关模型的稳定参数
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.20.2_48
Hisashi Kurokawa, K. Shigemasu
{"title":"STABLE PARAMETER ESTIMATION IN CANONICAL CORRELATION MODEL BY MEANS OF STRUCTURED COVARIANCE MATRICES","authors":"Hisashi Kurokawa, K. Shigemasu","doi":"10.2333/JBHMK.20.2_48","DOIUrl":"https://doi.org/10.2333/JBHMK.20.2_48","url":null,"abstract":"Parameter estimation of the Canonical Correlation Analysis(CCA)can be often difficult in the presence of multicolinearity.The purpose of this paper is to make the parameter estimates more stable by structuring relevant covariance matrices using the prior knowledge.More concretely,we assumed factor analytic model and covariance structure model,then in terms of the estimated parameters in these models,we reproduced the covariance matrices.We sub stituted these covariance matrices in the CCA intead of the maximum likelihood estimates,i.e. sample covariance matrices,then obtained the estimates for the CCA vectors.In this paper,we consider only the first principal CCA vectors,because we assume here our interest is in construct ing the index connecting the two sets of variables.So,the stability of the estimated parameters was judged by the cross validation techniques.The cross validation study showed that the parameter estimation using the structured covariance matrices yielded more effective prediction than the traditional method.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HUMAN DYNAMICS IN MANUAL CONTROL 人的动态在手动控制
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.6.2_63
Michiko Takasrima, S. Yoshizawa, J. Nagumo
{"title":"HUMAN DYNAMICS IN MANUAL CONTROL","authors":"Michiko Takasrima, S. Yoshizawa, J. Nagumo","doi":"10.2333/JBHMK.6.2_63","DOIUrl":"https://doi.org/10.2333/JBHMK.6.2_63","url":null,"abstract":"","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133481585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Effect of Local Dependence on Item Parameter Estimation 局部依赖对项目参数估计的影响
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.39.81
Naoya Todo
{"title":"The Effect of Local Dependence on Item Parameter Estimation","authors":"Naoya Todo","doi":"10.2333/JBHMK.39.81","DOIUrl":"https://doi.org/10.2333/JBHMK.39.81","url":null,"abstract":"In this study, we assessed the effect of local dependence on item parameter estimation based on comparable item parameters, using Markov Chain Monte Carlo method. The results showed that if we estimate item parameters ignoring local dependence, item parameter estimation will be more inaccurate than taking local dependence into account. Furthermore, it was supposed that the result of previous works, which were not based on comparable item parameters, was distorted.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133201931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Interpretation of Results using both Low- and High-Dimensional Solutions of INDSCAL: the Spatial Representation of Store Arrangement and Season Effects on Multiple Purchase Behaviors 基于INDSCAL低、高维解的结果解释:店铺布局的空间表征和季节对多重购买行为的影响
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.35.103
Atsuho Nakayama, H. Tsurumi
{"title":"Interpretation of Results using both Low- and High-Dimensional Solutions of INDSCAL: the Spatial Representation of Store Arrangement and Season Effects on Multiple Purchase Behaviors","authors":"Atsuho Nakayama, H. Tsurumi","doi":"10.2333/JBHMK.35.103","DOIUrl":"https://doi.org/10.2333/JBHMK.35.103","url":null,"abstract":"Previous applications using individual differences scaling (INDSCAL) have tended toward higher dimensionalities than in the case of one-mode two-way multidimensional scaling. The interpretation of the results obtained from INDSCAL has not always emphasized the way to visualize the solutions. To interpret the results more efficiently, this study proposes an approach that uses both low- and high-dimensional solutions of INDSCAL. Department store purchase data were analyzed using INDSCAL. This analysis examined the influences of store arrangement and season effects on multiple purchase behaviors. The results showed that consumers' multiple purchase behaviors are based on an image of the shop, the life stage of the consumers, and the layout of the department store. The store arrangement influences long-term purchase behaviors, which differ from period to period.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128886267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ENTROMIN AND ENTROMAX: CRITERIA FOR FACTOR ROTATION BASED ON ENTROPY Entromin和entromax:基于熵的因子旋转的标准
The Japanese Journal of Behaviormetrics Pub Date : 1900-01-01 DOI: 10.2333/JBHMK.21.2_10
A. Inagaki
{"title":"ENTROMIN AND ENTROMAX: CRITERIA FOR FACTOR ROTATION BASED ON ENTROPY","authors":"A. Inagaki","doi":"10.2333/JBHMK.21.2_10","DOIUrl":"https://doi.org/10.2333/JBHMK.21.2_10","url":null,"abstract":"This paper proposes ENTROMIN and ENTROMAX criteria based on entropy for orthogonal factor rotation and their computational algorithms. One of the main advantages of themethods is that they can be used for assessing and comparing the parsimony of factor structuresby the measure of relative entropy. Illustrative analyses are presented to examine the availability of the proposed methods. Results of applications of the methods are compared with resultsobtained using principal factor solution followed by VARIMAX rotation.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"12 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131303823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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