离子色谱法测定水中氯化物含量的不确定度评定

采用离子色谱法测定水中氯化物含量,并进行不确定度分析,计算各不确定度分量,得到合成标准不确定度为0.179 8 mg·L~(-1)。对提高离子色谱法检测氯化物的准确度有指导意义。     

分光光度法测定乳粉中胆碱含量的不确定度评定

根据《婴幼儿食品和乳品中胆碱的测定》测定乳粉中胆碱的含量,建立分光光度法测定乳制品中胆碱的不确定度数学模型,通过分析其测定的过程,确定影响结果的不确定度的主要分量来源,进行逐一分析并计算,评定出测量结果的合成标准不确定度和扩展不确定度。通过探讨这类测定方法的不确定度计算方法和步骤,建立一种简单、适用的测量不确定度的评估方法。     

高效液相色谱法测定饮料中乙酰磺胺酸钾含量的不确定度分析

建立高效液相色谱法测定饮料中乙酰磺胺酸钾含量不确定度评定的数学模型,通过对实验全过程的分析,确定了测定结果不确定度的来源,对各不确定度分量进行了系统分析。结果表明:当乙酰磺胺酸钾含量为216.598 mg·kg~(-1)时,不确定度为9.530 mg·kg~(-1)(k=2)。     

高效液相色谱法测定肉制品中双乙酸钠的不确定度评定

按照GB/T 23383-2009利用反相高效液相色谱法对肉制品中双乙酸钠含量进行分析,建立数学模型,对测量结果的不确定度来源如标准物质、校准工作曲线、样品处理、回收率等各不确定度分量进行分析评定及量化。按数学模型计算得肉制品中双乙酸钠含量为0.460g/kg时,本方法的标准不确定度为0.022g/kg,扩展不确定度为0.044g/kg,最终结果的不确定度主要由样品溶液中双乙酸钠含量和样品处理过程产生。     

茶饮料中茶多酚的检测与测定不确定度分析

对茶饮料当中的茶多酚含量进行检测,并找出测量不确定度形成的主要因素,运用数学模型对测量当中出现的不确定度分量进行有效的分析。     

GUM法评定自来水中氯化物的测量不确定度

本文介绍了使用GUM法评定离子色谱法测量自来水中氯化物的不确定度,从标准溶液配制、线性回归方程拟合、测量重复性、实验环境4个方面分析,建立数学模型和因果图,分析各分量引入的不确定度,按照GUM法计算,得出测量不确定度评定的结果。     

fdp胶囊中磷酸果糖含量的测定不确定度评定

对fdp胶囊中磷酸果糖含量测定不确定度进行了评定,分析了测量不确定度来源及建立数学模型,对各测量不确定度分量进行了评定,通过合成标准不确定度给出扩展不确定度.     

HPLC法测定面包中脱氢乙酸的不确定度评定

评定高效液相色谱法测定面包中脱氢乙酸含量的不确定度。依据国家计量技术规范JJF 1059.1-2012《测量不确定度评定与表示》,建立脱氢乙酸不确定度的数学模型,并对各不确定度分量进行分析,计算合成不确定度和扩展不确定度。结果表明,当样品中脱氢乙酸的含量为0.2547 g·kg~(-1)时,其扩展不确定度为0.0065 g·kg~(-1)(P=95%,k=2),标准曲线配制、标准曲线拟合、加标回收、重复性测量是测量不确定度的主要来源。     

气相色谱法测定蔬菜中拟除虫菊酯农药残留量的不确定度评定

笔者利用气相色谱法测定蔬菜中拟除虫菊酯农药残留的情况,通过数学模型,计算出测定过程中的不确定度的各个分量,从而计算出合成不确定度和扩展不确定度,找出影响测量结果不确定度的主要因素,并系统介绍气相色谱法测定蔬菜中拟除虫菊酯农药残留量的不确定度评定过程。     

饲料中BHA含量测定的不确定度分析报告

分析用气相色谱法测定饲料中BHA含量时,可能对结果产生不确定度的原因,并对不确定度进行评定,最终给出扩展不确定度,如实反映测量的置信度和准确度。     

LC-MS检测化妆品中糖皮质激素的不确定度研究

根据JJF1059-1999《测量不确定度评价与表示》对建立液相色谱-质谱测定方法的不确定度评定方式,对糖皮质激素的测定进行不确定度分析。通过对地塞米松测定过程建立数学模型,包括对称重、溶液配制等方面,其中在方法的不确定度评定过程中,应主要考虑不确定度贡献较大的分量,从而简化实验操作步骤,提高工作效率。通过对标准曲线、称量、标准溶液配制、实验人员、环境等因素引入的不确定度进行分析,置信区间为95%时,k=2,得出不确定度结果为UC=31.40mg/mL,地塞米松含量c=（397.45±32.66）mg/mL。     

论保险公司治理的特殊性——一个数理模型的分析

本文把保险业的特殊性和公司治理的一般理论相结合,构建了一个保险公司治理的数理模型.正文第一部分介绍模型的框架并建立起基本的前提假定,第二部分分析保险公司内部人和外部人的行为策略以及保险公司内外信息不对称的严重性和经营的不确定性以揭示保险公司治理问题的本质,第三部分对模型进行扩展,探讨多种公司治理机制的作用机理以显示保险公司治理的特殊性.     

加入WTO后中国汽车贸易壁垒降低方式的不确定性

利用数学模型并结合实证分析 ,研究中国汽车市场在 2 0 0 1年至 2 0 0 6年期间贸易壁垒不同的降低方式及其对国内汽车业发展的利弊 ,以及降低方式的不确定所带来的政策制定的选择 ;探究贸易壁垒降低方式的不确定性对国外汽车公司战略的影响。最后 ,为国家制定汽车产业政策提出建议     

石墨炉原子吸收分光光度法测定水样中铬的不确定度

[目的]通过对影响测定结果的不确定度因素的分析和量化,评价石墨炉原子吸收光谱法测定水样中铬的不确定度。[方法]调节仪器最佳测定条件,测定铬标准工作溶液系列并依据工作软件自动建立工作曲线和数学模型;连续测量10次水样,根据标准曲线获得未知样品铬浓度;分析石墨炉原子吸收分光光度法测定水样中铬的误差性质和来源,确定不确定度的主要因素,计算水样中铬的测量不确定度。[结果]扩展不确定度U95=0.016mg/L（Veff=20）。[结论]根据分析仪器的测定数据输出方式建立数学模型,进行不确定度评定,方法直观简明,与实际工作相符合。     

基于期权博弈理论的企业并购定价风险研究

并购能够为企业带来诸如规模经济、资源配置、组合协同效应。但是并购的各个环节都有风险,笔者由于定价不准确而导致的并购结果的不确定性,从而使主并企业蒙受损失的可能性定义为并购定价风险,用风险价值VaR来度量。利用期权博弈理论的思想与建模方法确定并购成交价格,在此基础上建立并购定价风险（VaR）的数学模型,并进行实证分析。     

Understanding the Role of Consumer Heterogeneity in the Formation of Satisfaction Uncertainty

Prior empirical research has focused on the antecedents and consequences of attitude uncertainty. Drawing on regulatory focus theory and need for closure theory, this research examines the role of individual difference variables in shaping satisfaction uncertainty. This empirical work seeks to explore the interplay of individual difference variables, cognition and affect, in shaping satisfaction uncertainty. The proposed model maintains that need for closure and regulatory focus shape satisfaction uncertainty through their influence on cognitive and affective processes. The model was tested on 192 participants in an experiment using a restaurant scenario. Satisfaction uncertainty is estimated, rather than measured, using the Judgment Uncertainty and Magnitude Parameters (JUMP) model. The results show that prior expectation, pleasure, and arousal have positive effects on satisfaction uncertainty, while perceived performance has a negative impact. Furthermore, regulatory focus is found to moderate the effects of cognition and affect on satisfaction uncertainty, while need for closure moderates the impact of affect on satisfaction uncertainty.     

Provision of Step-Level Public Goods with Uncertain Provision Threshold and Continuous Contribution

Common to most theoretical and empirical research on public goods is the assumption that the parameters of the game are common knowledge. Recent theoretical and empirical studies have questioned this assumption by arguing that many public goods situations are characterized by uncertainty regarding various aspects of the situation. In particular, Suleiman (1997) argued that members of production groups of step-level public goods are often uncertain about the value of the provision threshold. For this type of uncertainty he proposed three distinct models to account for the individual's contribution.The present study reports the results of an experiment designed primarily to test and contrast the predictions derived from two of these models – a subjective expected utility model and a cooperative model – regarding the effects of threshold uncertainty on contribution for the provision of step-level public goods. Other goals of the study were to test the joint effect of the threshold uncertainty level, and its mean (low vs. high), on contribution, and to examine the effect of threshold uncertainty on the individuals' estimates regarding the contributions of other group members.The results show that the effect of threshold uncertainty is moderated by the threshold mean: Contribution to the public good increased as a function of uncertainty for the lower threshold mean, and decreased (though not significantly) for the higher threshold mean. In contrast, for the two threshold means the subjects' estimates of the mean and variability of others' contribution increased with threshold uncertainty.The models' comparison revealed that the cooperative model was superior to the subjective expected utility model. This result adds to a substantial body of research on social dilemmas showing that under conditions of social (strategic) uncertainty, group members tacitly coordinate their choice behavior by anchoring their decisions on rules of fairness.     

奈特不确定下资产定价消费模型的建立

在不确定条件下进行资产定价是金融学中的一个重要问题。受金融市场的时变性和人的参与,通常情况下很难得到如收益、利率、波动率等某些变量的精确估计值,现实金融市场中不仅存在概率意义上的不确定性,还存在模糊性,在实际投资中如何对不确定性给出正确的建模就变得非常重要。把不确定性理论引入到传统的资产定价模型中,通过引入不确定性惩罚因子和熵函数建立奈特不确定条件下的最优消费和投资组合模型,能够同时反映随机不确定性和模糊性,可满足投资者的需求。该模型是对经典模型的一种自然推广,它可以适用于不同类型的市场,不同类型的个体,有较好的适用性。     

Integrating Uncertain Preferences into Status Quo Analysis with Applications to an Environmental Conflict

An algorithm is put forward to conduct status quo analysis when preference uncertainty exists for at least one decision maker (DM) in a strategic conflict. This research integrates into a unified framework two recent expansions of the graph model for conflict resolution, preference uncertainty and status quo analysis. Both of these developments enhance the applicability of the graph model, preference uncertainty by accommodating uncertainty in DMs' preferences and status quo analysis by addressing the dynamics of conflict. The combination of preference uncertainty and status quo analysis improves the flexibility of the graph model in both modelling and analysis. A new model of an environmental conflict is analyzed to demonstrate how the new algorithm can be applied.