Research on statistical analysis of evaluating fixed-assets for housing and its application

住房固定资产评估统计分析及其应用研究

• 批准号: 16510128
• 负责人: OSAKI Shunji
• 金额: $ 2.05万
• 依托单位: Nanzan University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2004
• 资助国家: 日本
• 起止时间: 2004 至 2005
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-16510128/
• 关键词: evaluation of a property tax by pricing lands; factors for pricing lands; estimation for pricing lands; quantification method I; multiple classification analysis; Cox regression model; a plug-in tool in spreadsheet; Web-based application; 固定資産税路線価

The main contribution of this project was to develop statistical models for evaluating fixed-assets for housing and to implement of the developed statistical methods into some computer applications. In the part of development of models, we refined the existing model based on qualification theory I, so that they were extended to the multiple regression models. This led to the evaluation method based on the multiple regression models. In addition to such deterministic methods, we reconsidered the applicability of Cox regression to the fixed-assets evaluation. The covariate selection method was applied to make the pricing accurate in this scheme. Moreover, we made consideration on missing data problem, and analyzed relationship between the covariates under the multiple classification analysis. The systems which implement the above statistical methods have been built as a spreadsheet plug-in and Web-based application, respectively.(i)Study on evaluation based on the multiple regression mod … More el : The regression model is generally an extensive model to the qualification theory I. Thus the qualification-based evaluation method was extended to the multiple regression model, and therefore we can treat quantitative data like distance from a station without translation to discrete values, namely classification. In addition, the refined model based the multiple regression led to the principal component analysis in multiple classification analysis.(ii)Cox regression model : The existing methods were extended to Cox regression methods. This extension made the selection of covariates possible. Also, we developed EM algorithm to deal with the missing data in the Cox regression model.(iii)Development of systems : In order to distribute the above proposed methods into the area of practical evaluation of fixed-assets, we built two kinds of useful applications. The first is a plug-in software of spreadsheet, so that it is easy to use for all users. The second is a Web-based application, which consists of some data management architectures. Less

该项目的主要贡献是开发用于评估住房固定资产的统计模型，并将开发的统计方法应用于某些计算机应用程序。在模型的建立部分，我们基于限定性理论I对现有的模型进行了改进，使其扩展到多元回归模型。这导致了基于多元回归模型的评价方法。除了这些确定性的方法，我们重新考虑了考克斯回归的适用性，固定资产评估。该方案采用协变量选择方法使定价准确。此外，我们考虑了缺失数据问题，并分析了多重分类分析下协变量之间的关系。实现上述统计方法的系统已分别构建为电子表格插件和基于Web的应用程序。（一）基于多元回归模型的评价研究 ...更多信息 回归模型通常是定性理论I的一个扩展模型。因此，基于定性的评价方法被扩展到多元回归模型，因此我们可以处理定量数据，如从一个站的距离，而无需转换为离散值，即分类。此外，在多元回归的基础上改进模型，引入了多元分类分析中的主成分分析。（ii）考克斯回归模型：将现有的方法扩展为考克斯回归方法。这种扩展使得协变量的选择成为可能。同时，我们还开发了EM算法来处理考克斯回归模型中的缺失数据。（iii）系统开发：为了将上述方法推广到固定资产的实际评估领域，我们建立了两种有用的应用程序。第一个是电子表格的插件软件，以便所有用户都易于使用。第二种是基于Web的应用程序，它由一些数据管理体系结构组成。少

项目成果

EM algorithms for fitting Markovian arrival processes to time-interval sampling data,

用于将马尔可夫到达过程拟合到时间间隔采样数据的 EM 算法，

• 发表时间: 2005
• 期刊: Proceedings of International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005)
• 作者: H.Okamura;H.Goto;T.Dohi
• 通讯作者: T.Dohi

Estimating age replacement policies with a small sample data,

用小样本数据估算年龄替代政策，

• 发表时间: 2005
• 期刊: Proceedings of International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005)
• 作者: K.Rinsaka;T.Dohi
• 通讯作者: T.Dohi

統計モデルによるソフトウェアテスト手法の比較

使用统计模型的软件测试方法的比较

• 发表时间: 2004
• 期刊: 電子情報通信学会技術研究報告 R-104(72)
• 作者: K.Rinsaka;T.Dohi;岡村寛之;Tadashi Dohi;Hiroyuki Okamura;Koichiro Rinsaka;Hiroyuki Okamura;安田修;安田修他;岡村寛之他
• 通讯作者: 岡村寛之他

ランダムテスト環境下におけるカバレージの達成確立に関する考察

随机测试环境下实现覆盖的思考

• 发表时间: 2004
• 期刊: 電気・情報関連学会中国支部第55回連合大会講演論文集
• 作者: K.Rinsaka;T.Dohi;岡村寛之;Tadashi Dohi;Hiroyuki Okamura;Koichiro Rinsaka;Hiroyuki Okamura;安田修;安田修他;岡村寛之他;古村仁志他
• 通讯作者: 古村仁志他

EM algorithms for extreme-value software reliability models,

用于极值软件可靠性模型的 EM 算法，

• 发表时间: 2004
• 期刊: Proceedings of 4th International Conference on Mathematical Methods in Reliability-Methodology and Practice (CD-ROM)
• 作者: H.Okamura;T.Dohi
• 通讯作者: T.Dohi