Bayesian Measures of the Minimum Detectable Concentration of an Immunoassay

The minimum detectable concentration (MDC) is one of the most important properties of an assay. It is a statement about the smallest physical quantity an assay can reliably measure, and is used in assay design and quality control assessments. A plethora of measures of the MDC have been reported in a widely scattered literature. Many of these were developed at a time when accuracy and relevance had to be sacrificed for computational feasibility. This paper identifies limitations of existing measures and demonstrates how Bayesian inference may be used to overcome these limitations. Several new measures of the MDC are developed. These are conceptually simpler than existing measures, and are free of analytical approximations. The recent advances in Bayesian computation make them efficient to evaluate. A procedure developed in this paper measures the difference in the quality of two assays and shows that the new Bayesian measures perform better than existing measures.     

An R2criterion based on optimal predictors

The predictor that minimizes mean-squared prediction error is used to derive a goodness-of-fit measure that offers an asymptotically valid model selection criterion for a wide variety of regression models. In particular, a new goodness-of-fit criterion (cr²) is proposed for censored or otherwise limited dependent variables. The new goodness-of-fit measure is then applied to the analysis of duration.     

一种多波形雷达信号全数字产生及处理系统

提出并实现了兼容多种雷达脉压信号的全数字产生及处理系统。其信号包括线性调频信号、非线性调频信号及其多相码、泰勒（Ｔａｙｌｏｒ）四相码信号等。利用级联型ＦＩＲ滤波器ＩＭＳＡ１００组成数字复相关脉压网络对多种带宽（带发达５ＭＨｚ）脉压信号进行实时数字处理；分析了数字方法运用于波形合成中由于ＤＡＣ零阶保持特性造成的信号频谱高频失真的机理；采用提高ＤＡＣ转换速率以获得近似理想冲激串取样的方法，产生了多种性能稳定、波形质量高的宽带雷达脉压信号。文中给出了部分模拟与实验结果。     

一类非线性中立型偏微分方程的振动性

本文研究了一类非线性中立型偏微分方程解的振动性,其中(x,t)∈Ω×(0,+∞)≡G,Ω R~n是有界域,Ω逐片光滑,△u=(x,t),且获得了方程(1)在不同边界条件下的所有解振动的充分条件,并给出这些充分条件应用的实际例子     

关于极大η-单调映象的完全广义Fuzzy隐拟变分包含

本文介绍了一类关于极大,η-单调映象的完全广义拟变分包含问题,利用预解算子技巧研究了这类变分包含解的迭代算逼近,证明了解的存在性以及由算法生成的迭代序列的收敛性。     

关于动力学理論中的扰动方法

本文讨论了动力学理论中求解Vlasov-Maxwell方程的扰动方法,证明了第一次线性化后的高阶分布函数对研究电磁波与带电粒子之间的互作用没有影响,并给出了第二次线性化后的Vlasov-Maxwell方程的一般求解方法.     

Strategic Liquidity Provision in Limit Order Markets

We characterize and prove the existence of Nash equilibrium in a limit order market with a finite number of risk‐neutral liquidity providers. We show that if there is sufficient adverse selection, then pointwise optimization (maximizing in p for each q) in a certain nonlinear pricing game produces a Nash equilibrium in the limit order market. The need for a sufficient degree of adverse selection does not vanish as the number of liquidity providers increases. Our formulation of the nonlinear pricing game encompasses various specifications of informed and liquidity trading, including the case in which nature chooses whether the market‐order trader is informed or a liquidity trader. We solve for an equilibrium analytically in various examples and also present examples in which the first‐order condition for pointwise optimization does not define an equilibrium, because the amount of adverse selection is insufficient.     

中国2004年前11个月经济运行情况和2005年展望

文章对2004年前11个月经济运行的基本情况和本轮宏观调控的成效进行了阐述,并从定性和定量两个角度对2005年经济增长率和物价上涨率进行了分析和预测,最后对2005年宏观经济调控提出了一些政策性建议。     

Correcting for nonlinear measurement errors in the dependent variable in the general linear model

Linear models are considered in which measurement error is present in the dependent variable. Observed values are related to true values via nonlinear regression models with the parameters in the measurement error models being estimated with the use of independent, external data, collected using standards. Pseudo-maximum likelihood estimators and their asymptotic properties are developed under normality assumptions and the common approach of simply analyzing imputed values obtained from the nestimated calibration curves is assessed. A small simulation evaluates the procedures. An example is presented in which urinary neopterin (measured via radioimmunoassay) is nbeing compared between two groups of individuals.     

Generalized least squares estimation of multivariate nonlinear models with missing data

The method of estimated generalized least squares estimation of multiple response models is extended to the randomly missing date case. This estimation procedure is computationally simply when there are many missing data but the number of distinct patterns of missing data for the response vectors is small. The consistency and asymptotic normality of the proposed estimators are established.