“当前”统计模型机动加速度分布的研究

利用机动目标"当前"统计模型的自适应卡尔曼滤波对两种不同的机动加速度模型进行计算机仿真研究中发现,在跟踪变加速目标时,运用两种不同分布模型分析计算的结果出现较大的差别.在利用修正的瑞利分布密度函数模型对目标位置和速度跟踪时产生较大的滞后,而利用截断正态分布密度函数模型时没有出现这种现象.通过对分布函数和计算机仿真结果的分析,初步找出产生跟踪滞后的原因,并提出相应的修正办法.     

陆生野生动物资源资产统计分类体系构建

野生动物资源资产化管理是生态文明制度建设的重要内容。目前野生动物的过度利用已经造成许多野生动物处于濒危状态。因此健全野生动物资源产权制度,提高野生动物资源的使用和保护效率是当前迫切需要解决的问题之一,而解决这些问题的关键就是对野生动物资源进行资产化评估。以陆生野生动物作为研究对象,界定其资源资产的概念,参考SEEA中心框架等内容,构建陆生野生动物资源资产统计分类体系。在划分野外和人工繁育两大类别的基础上,从功能角度将陆生野生动物资源资产分为经济资产、生态服务资产和文化服务资产三类。最后通过分析各种已有的资产评估方法,提出适合各类陆生野生动物资源资产的评估方法。     

关于我国学前教育领域内图画书研究文献的统计分析

图画书是一种适合儿童阅读的读物,我国当前对图画书的研究已经呈现多领域开展的态势,学前教育是其中的一个重要领域。用内容分析法对相关文献进行统计分析发现,学前教育领域内对图画书的研究呈现热度较高但水平相对不高且分布不均衡等特点,并对此提出了相关建议。     

科技企业孵化器与创投合作绩效研究

促进科技企业孵化器与创业投资机构协同发展对于区域经济增长和实现科技创新具有重要的现实意义。在阐述孵化器与创投协同效应的评价指标体系基础上,采用问卷调查法对孵化器与创投协同效应的影响因素进行分析。同时,通过对调查问卷中得到的数据进行描述性统计与分析,运用SPSS18.0中的回归分析法研究孵化器与创投协作因素对合作绩效的影响。在归纳了协作因素的基础上,阐明了各协作因素对合作绩效的重要性,并提出了相应的策略。     

论经济周期波动的随机统计规律

从经济周期波动的特征出发，分析经济周期现象中考虑随机性的合理性和必要性，可看出经济周期运动的内在机制中蕴含着大量的不确定随机因素及对经济周期波动的影响，从随机周期现象入手，针对周期波动的研究历史和现状，就可得到新的启示和评价．     

重庆市县域商品房价格时空变化特征研究——基于空间统计分析法

以2005—2015年重庆市38个区（县）商品房价格数据为样本,利用空间自相关等空间统计分析方法对重庆市县域商品房价格的空间分布和时空演变特征进行研究。研究结果表明：渝东北地区商品房价格稳定性相对最好,渝西地区次之,渝东南地区再次之,主城区商品房价格稳定性最差;重庆市商品房价格具有较强的空间集聚性,但随着时间的推移,空间集聚性逐渐减弱,商品房价格空间差异逐渐缩小;重庆市商品房价格区域差异呈现明显的空间二元结构,房地产发展热点区域主要集中于主城九区,远郊区县的房地产发展相对缓慢。     

Child labour measurement: Whom should we ask?

Funding decisions to support vulnerable children are tied to child labour statistics, hence the importance of an accurate measurement. The author analyses whether the type of respondent plays an important role in explaining variations in child labour statistics. Using data from two sites in Tanzania, the analysis shows that “whom we ask” matters considerably when estimating the prevalence of child labour. The results suggest that prevalence increases by approximately 35 to 65 per cent when using child self‐reports rather than proxy reports. This bias affects 14 to 31 per cent of the sample, depending on the indicator. Discrepancies decrease as the child ages and increase if proxy attitudes demonstrate opposition to child labour.     

Models for the analysis of C-reactive protein in statin trials

Elevation in C-reactive protein (CRP) is an independent risk factor for cardiovascular disease progression and levels are reduced by treatment with statins. However, on-treatment CRP, given baseline CRP and treatment, is not normally distributed and outliers exist even when transformations are applied. Although classical non-parametric tests address some of these issues, they do not enable straightforward inclusion of covariate information. The aims of this study were to produce a model that improved efficiency and accuracy of analysis of CRP data. Estimation of treatment effects and identification of outliers were addressed using controlled trials of rosuvastatin. The robust statistical technique of MM-estimation was used to fit models to data in the presence of outliers and was compared with least-squares estimation. To develop the model, appropriate transformations of the response and baseline variables were selected. The model was used to investigate how on-treatment CRP related to baseline CRP and estimated treatment effects with rosuvastatin. On comparing least-squares and MM-estimation, MM-estimation was superior to least-squares estimation in that parameter estimates were more efficient and outliers were clearly identified. Relative reductions in CRP were higher at higher baseline CRP levels. There was also evidence of a dose-response relationship between CRP reductions from baseline and rosuvastatin. Several large outliers were identified, although there did not appear to be any relationships between the incidence of outliers and treatments. In conclusion, using robust estimation to model CRP data is superior to least-squares estimation and non-parametric tests in terms of efficiency, outlier identification and the ability to include covariate information.     

自助多水平统计模型在代际收入流动研究中的应用

文章首先对代际收入流动的相关文献进行简单回顾,在此基础上运用自助法多水平统计模型对不同年份的CHNS数据进行分析。结果表明在控制了个体属性变量后,农村家庭子女收入受户主收入影响,即表现出一定程度的代际流动性;文章的结果同时表明农村地区代际流动性不存在中部、东部以及西部之间地域上的差别。最后,文章指出研究中的一些不足之处,指出了未来研究方向。     

Generally weighted moving average control charts with fast initial response features

The generally weighted moving average (GWMA) control chart is an extension model of exponentially weighted moving average (EWMA) control chart. Recently, some approaches have been proposed to modify EWMA charts with fast initial response (FIR) features. We introduce these approaches in GWMA-type charts. Via simulation, various control schemes are designed and then their average run lengths are computed and compared. Based on the overall performance, it is showed that the DGWMA chart is the best choice especially when the shift is moderate, and the GWMA charts provided with additional FIR feature have a good performance only in detecting large shifts during the initial stage.