铂电阻测温非线性校正的两种新方法

根据正反馈原理，本文提出了铂电阻非线性校正基于级数展开和基于准相对误差最小的两种新方法，给出了参数设计的争有达式，设计及实际应用表明，这些方法简单、实用、有效，大大方便了铂电曙度传感器在测控系统中的应用。     

扫描电路的相对时差

研究了简单式、自举式、密勒式和恒流管充电式四种扫描电路的相对时差与其电源利用系数、非线性系数的关系,并且阐明了扫描电路相对时差的实用价值.     

社会文化心态的特殊意识品格

社会文化心态是一种将分散的社会普通成员的心理要素 ,经过某种整合 ,汇集而成并以整体面目存在和流行于广大普通成员之中的集体性文化精神状态 ,具有一定的大众性 ;作为文化心理环境意义的社会文化心态 ,其精神内核表征为群体性的社会态度 ,因此 ,具有极强的倾向性特征 ;就意识内容而言 ,社会文化心态主要是对人们日常社会文化生活的反映 ,故表现出明显的届时性 ;由于社会文化心态是属于社会心理和社会意识形态相互渗透、有机结合而成的状态结构 ,因而还具有非线性品格     

近代物理学“混沌理论”浅解

"混沌理论"的诞生,解决了现代物理理论研究中有关传统的确定性理论领域中的随机性现象和传统的随机性理论研究的确定性问题。从简单的数学游戏和单摆入手,解说了混沌运动的产生及主要特征,通过介绍"混沌理论"建立的史话,从更新、更简单的角度去理解"混沌理论",为"混沌理论"的普及起到了前导作用。     

从自组织理论看社会的可持续发展

按照自组织理论,社会作为一个自组织系统,应在与自然之间相互开放的共生关系中求得其可持续发展;在平衡——非平衡——平衡的动态过程中保持其可持续发展;在竞争与协同的对立统一中促进其可持续发展;在涨与落的宏观效应中加速其可持续发展;在社会系统内部诸要素之间的非线性相互作用中实现其可持续发展。     

RC电桥移相-自比式鉴频器的研究

分析了RC电桥移相-自比式鉴频器的鉴频特性、鉴频频域、非线性失真和鉴频灵敏度等主要性能,指出其具有鉴频频域较宽、便于集成等优点.     

Statistical issues in studying the relative importance of body mass index,waist circumference,waist hip ratio and waist stature ratio to predict type 2 diabetes

Systematic and appropriate statistical analysis is needed to examine the relative performance of anthropometrical indices, viz. body mass index (BMI), waist circumference (WC), waist hip ratio (WHR) and waist stature ratio (WSR) for predicting type 2 diabetes. Using information on socio-demographic, anthropometric and biochemical variables from 2148 males, we examined collinearity and non-linearity among the predictors before studying the association between anthropometric indices and type 2 diabetes. The variable involving in collinearity was removed from further analysis, and the relative importance of BMI, WC and WHR was examined by logistic regression analysis. To avoid non-interpretable odds ratios (ORs), cut point theory is used. Optimal cut points are derived and tested for significance. Multivariable fractional polynomial (MFP) algorithm is applied to reconcile non-linearity. As expected, WSR and WC were collinear with WHR and BMI. Since WSR was jointly as well as independently collinear, it was dropped from further analysis. The OR for WHR could not be interpreted meaningfully. Cut point theory was adopted. Deciles emerged as the optimal cut point. MFP recognized non-linearity effects on the outcome. Multicollinearity among the anthropometric indices was examined. Optimal cut points were identified and used to study the relative ORs. On the basis of the results of analysis, MFP is recommended to accommodate non-linearity among the predictors. WHR is relatively more important and significant than WC and BMI.     

Testing for efficiency and non-linearity in market and natural time series

Time series in traded markets such as currencies and securities involve supply/demand interaction, so they might be expected to contain distinctive and identifiable structures in comparison with data based on natural phenomena such as river flows or sunspots. This paper tests this proposition using standard econometric tests including variance ratios, modified rescaled range (R/S) ratios and BDS statistics together with non-linear prediction models. Four time series of each type (market or natural) are subject to a battery of tests for random walk and non-linear dependence. Surprisingly, the tests provide no reliable discrimination between the two types of series or reveal any embedded specification differences.     

Bootstrap—An exploration

We review a few unusual aspects of Bootstrap and some of the recent theoretical as well as methodological advances. We discuss the handling of non-linearity by Bootstrap through a numerical example in Section  2. Application to the estimation of high-dimensional inverse covariance matrix is presented in Section  3 with emphasis on the Augmented Bootstrap and a Bayesian version of it. Another high dimensional example, namely, Random Forest and its offshoot random survival forest (Ishwaran et al. (2008)  [32]) are discussed in Section  4. Bootstrap for massive data, introduced by Kleiner et al. (2011) [35], is discussed in Section  4. In Section  5, we discuss some aspects of Bootstrap in the context of hypothesis testing in high-dimension.     

中国股票市场技术分析非线性预测能力的实证检验

运用前向人工神经网络方法对我国股票市场技术分析非线性预测能力进行了实证检验.发现基于移动平均规则的人工神经网络模型具有明显高于AR模型和各种移动平均规则线性模型的样本外预测能力.为解释技术分析方法具有非线性预测能力的原因,本文构建了一个基于异质市场假说的移动平均规则非线性模型,发现该模型的预测能力远高于其它非线性模型.表明我国股票市场存在异质性特征,技术分析方法能捕捉到不同类型投资者之间非线性的相互作用关系可能正是其具有非线性预测能力的原因.