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Journal of the Japanese Society of Computational Statistics最新文献

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DETERMINATION OF SAMPLE SIZES FOR USE IN CONSTRUCTING CONFIDENCE INTERVALS : FOR A BINOMIAL PARAMETER 用于构造置信区间的样本量的确定:用于二项式参数
Journal of the Japanese Society of Computational Statistics Pub Date : 2002-12-01 DOI: 10.5183/JJSCS1988.15.19
Manabu Iwasaki, Noriko Hidaka
{"title":"DETERMINATION OF SAMPLE SIZES FOR USE IN CONSTRUCTING CONFIDENCE INTERVALS : FOR A BINOMIAL PARAMETER","authors":"Manabu Iwasaki, Noriko Hidaka","doi":"10.5183/JJSCS1988.15.19","DOIUrl":"https://doi.org/10.5183/JJSCS1988.15.19","url":null,"abstract":"This article considers exact and approximate confidence intervals for a binomial parameter p. Specifically, we will deal with the problem of determination of sample sizes which guarantee the probability that 100(1a)% confidence intervals for p do not include pre-specified constants is greater than 13. It is shown here that the coverage probability of confidence intervals is not an increasing function of the sample size, which is a consequence of the discreteness of binomial distributions. Illustrative numerical examples and some theoretical consideration for such anomalous behavior are given. We also briefly treat the case that the initial guess of the true binomial parameter is vague.","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128344037","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
DISTRIBUTED PROCESSING FUNCTIONS OF A TIME SERIES ANALYSIS SYSTEM 一个时间序列分析系统的分布式处理功能
Journal of the Japanese Society of Computational Statistics Pub Date : 2002-12-01 DOI: 10.5183/JJSCS1988.15.65
Yoshikazu Yamamoto, Junji Nakano
{"title":"DISTRIBUTED PROCESSING FUNCTIONS OF A TIME SERIES ANALYSIS SYSTEM","authors":"Yoshikazu Yamamoto, Junji Nakano","doi":"10.5183/JJSCS1988.15.65","DOIUrl":"https://doi.org/10.5183/JJSCS1988.15.65","url":null,"abstract":"","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122390971","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: 3
CIRCLE STRUCTURE DERIVED FROM DECOMPOSITION OF ASYMMETRIC DATA MATRIX 由非对称数据矩阵分解得到圆结构
Journal of the Japanese Society of Computational Statistics Pub Date : 2002-12-01 DOI: 10.5183/JJSCS1988.15.1
Takayuki Saito
{"title":"CIRCLE STRUCTURE DERIVED FROM DECOMPOSITION OF ASYMMETRIC DATA MATRIX","authors":"Takayuki Saito","doi":"10.5183/JJSCS1988.15.1","DOIUrl":"https://doi.org/10.5183/JJSCS1988.15.1","url":null,"abstract":"","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129862866","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: 18
ROBUST ESTIMATES OF LOCATION PARAMETERS IN TWO-WAY LAYOUTS WITH INTERACTION 具有交互作用的双向布局中位置参数的鲁棒估计
Journal of the Japanese Society of Computational Statistics Pub Date : 2001-12-01 DOI: 10.5183/JJSCS1988.14.49
T. Shiraishi
{"title":"ROBUST ESTIMATES OF LOCATION PARAMETERS IN TWO-WAY LAYOUTS WITH INTERACTION","authors":"T. Shiraishi","doi":"10.5183/JJSCS1988.14.49","DOIUrl":"https://doi.org/10.5183/JJSCS1988.14.49","url":null,"abstract":"Statistical estimation procedures are proposed based on studentized robust statistics for location parameters in two-way layouts with interaction. Large sample properties of these procedures as the cell size tends to infinity are investigated. Although Fisher's consistency is assumed in the theory of M-estimators, it is not needed in this paper. It is found that the asymptotic relative efficiencies (ARE's) of the proposed procedures relative to classical procedures agree with the classical ARE-results of Huber's one sample M-estimator relative to the sample mean. By simulation studies, it can be seen that the proposed estimators are more efficient than least squares estimators except for the case where the underlying distribution is normal.","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128132574","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
BAYESIAN SEQUENTIAL LEARNING FROM INCOMPLETE DATA ON DECOMPOSABLE GRAPHICAL MODELS 基于可分解图形模型的不完全数据贝叶斯顺序学习
Journal of the Japanese Society of Computational Statistics Pub Date : 2001-12-01 DOI: 10.5183/JJSCS1988.14.11
M. Kuroda, Z. Geng, N. Niki
{"title":"BAYESIAN SEQUENTIAL LEARNING FROM INCOMPLETE DATA ON DECOMPOSABLE GRAPHICAL MODELS","authors":"M. Kuroda, Z. Geng, N. Niki","doi":"10.5183/JJSCS1988.14.11","DOIUrl":"https://doi.org/10.5183/JJSCS1988.14.11","url":null,"abstract":"In this paper, we discuss the Bayesian sequential learning on probabilities from incomplete data in decomposable graphical models. We give exact formulas of the posterior distribution, and the posterior mean and the posterior second moment based on a hyper Dirichlet prior distribution and an incomplete observation. The posterior distribution is usually a mixture hyper Dirichlet distribution when there exist incomplete data. In order to approximate the mixture posterior, we choose a single hyper Dirichlet distribution which has the same mean and the same average variance sum as those of the exact posterior.","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683776","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
BAYESIAN IMAGE RESTORATION VIA VARYING NEIGHBORHOOD STRUCTURE 基于变邻域结构的贝叶斯图像复原
Journal of the Japanese Society of Computational Statistics Pub Date : 2001-12-01 DOI: 10.5183/JJSCS1988.14.31
K. Nittono, T. Kamakura
{"title":"BAYESIAN IMAGE RESTORATION VIA VARYING NEIGHBORHOOD STRUCTURE","authors":"K. Nittono, T. Kamakura","doi":"10.5183/JJSCS1988.14.31","DOIUrl":"https://doi.org/10.5183/JJSCS1988.14.31","url":null,"abstract":"","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"1976 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130248251","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
PERMUTATION TEST FOR EQUALITY OF EACH CHARACTERISTIC ROOT IN TWO POPULATIONS 两个群体中各特征根相等性的置换检验
Journal of the Japanese Society of Computational Statistics Pub Date : 2001-12-01 DOI: 10.5183/JJSCS1988.14.1
Y. Takeda
{"title":"PERMUTATION TEST FOR EQUALITY OF EACH CHARACTERISTIC ROOT IN TWO POPULATIONS","authors":"Y. Takeda","doi":"10.5183/JJSCS1988.14.1","DOIUrl":"https://doi.org/10.5183/JJSCS1988.14.1","url":null,"abstract":"We consider the problem of testing the equality of intermediate characteristic roots in two populations. The permutation test is investigated for testing the hypothesis. The exact distribution of the ratio of the largest characteristic roots across populations is derived under the assumption of multivariate normality. A Monte Carlo experiment is conducted to examine the performance of the permutation test under the assumptions that two population distributions are characterized by multivariate normal and contaminated multivariate normal distributions.","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123994097","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: 5
A NUMERICAL STUDY OF SOLUTIONS IN LATENT CLASS ANALYSIS WITH TWO CLASSES BY A NEW METHOD 用一种新方法对两类潜在类分析解进行了数值研究
Journal of the Japanese Society of Computational Statistics Pub Date : 2000-12-01 DOI: 10.5183/JJSCS1988.13.15
T. Morita
{"title":"A NUMERICAL STUDY OF SOLUTIONS IN LATENT CLASS ANALYSIS WITH TWO CLASSES BY A NEW METHOD","authors":"T. Morita","doi":"10.5183/JJSCS1988.13.15","DOIUrl":"https://doi.org/10.5183/JJSCS1988.13.15","url":null,"abstract":"This paper shows that estimates of the latent parameters are much improved by using a new method obtained from numerical research. This method contains a new and unknown parameter p, and it intends to improve on the estimates by appropriately giving this p. A criterion for deciding the value of the optimum parameter p is proposed.","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126020692","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
VECTOR REPRESENTATION OF ASYMMETRY IN MULTIDIMENSIONAL SCALING 多维标度中不对称的向量表示
Journal of the Japanese Society of Computational Statistics Pub Date : 2000-12-01 DOI: 10.5183/JJSCS1988.13.1
Hiroshi Yadohisa, N. Niki
{"title":"VECTOR REPRESENTATION OF ASYMMETRY IN MULTIDIMENSIONAL SCALING","authors":"Hiroshi Yadohisa, N. Niki","doi":"10.5183/JJSCS1988.13.1","DOIUrl":"https://doi.org/10.5183/JJSCS1988.13.1","url":null,"abstract":"","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109103","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
GENERALIZED CONSTELLATION GRAPH TRANSFORMATION MODEL FOR PREDICTION 广义星座图变换预测模型
Journal of the Japanese Society of Computational Statistics Pub Date : 2000-12-01 DOI: 10.5183/JJSCS1988.13.41
Osamu Sugano
{"title":"GENERALIZED CONSTELLATION GRAPH TRANSFORMATION MODEL FOR PREDICTION","authors":"Osamu Sugano","doi":"10.5183/JJSCS1988.13.41","DOIUrl":"https://doi.org/10.5183/JJSCS1988.13.41","url":null,"abstract":"","PeriodicalId":338719,"journal":{"name":"Journal of the Japanese Society of Computational Statistics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664048","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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