多光谱辐射测温的正交多项式回归方法

对于多光谱辐射测温问题,传统的数据处理方法多为最小二乘法、多元线性回归拟合和逐步回归拟合。这些处理方法自身都存在一定的缺陷,使得拟合结果与物体表面真温之间存在一定的误差。文章在可变发射率模型的基础上,提出了对多光谱辐射测温数据处理的另一种新方法——正交多项式回归方法。文章阐述了正交多项式回归的数学基础,并根据钨表面在不同温度下的光谱发射率数据,分别采用逐步回归方法和正交多项式回归方法,对钨表面的真温进行了模拟。通过拟合结果的对比发现用正交多项式回归方法来处理数据,其原理简单、运算量小,拟合结果与表面真温之间的相对误差也较小。得出的结论是用正交多项式回归方法对多光谱辐射测温的数据进行处理,拟合结果比传统方法误差小、速度快、精度高。     

A Unified Approach to Second Order Optimality Criteria in Nonlinear Design of Experiments

In the nonlinear regression model we consider the optimal design problem with a second order design D-criterion. Our purpose is to present a general approach to this problem, which includes the asymptotic second order bias and variance criterion of the least squares estimator and criteria using the volume of confidence regions based on different statistics. Under assumptions of regularity for these statistics a second order approximation of the volume of these regions is derived which is proposed as a quadratic optimality criterion. These criteria include volumes of confidence regions based on the u _n - representable statistics. An important difference between the criteria presented in this paper and the second order criteria commonly employed in the recent literature is that the former criteria are independent of the vector of residuals. Moreover, a refined version of the commonly applied criteria is obtained, which also includes effects of nonlinearity caused by third derivatives of the response function.     

Positron Emission Tomography and Random Coefficients Regression

We further explore the relation between random coefficients regression (RCR) and computerized tomography. Recently, Beran et al. (1996, Ann. Statist., 24, 2569–2592) explored this connection to derive an estimation method for the non-parametric RCR problem which is closely related to image reconstruction methods in X-ray computerized tomography. In this paper we emphasize the close connection of the RCR problem with positron emission tomography (PET). Specifically, we show that the RCR problem can be viewed as an idealized (continuous) version of a PET experiment, by demonstrating that the nonparametric likelihood of the RCR problem is equivalent to that of a specific PET experiment. Consequently, methods independently developed for either of the two problems can be adapted from one problem to the other. To demonstrate the close relation between the two problems we use the estimation method of Beran, Feuerverger and Hall for image reconstruction in PET.     

一维双曲型积分微分方程的一个反问题

本文研究一类一维双曲型微分方程的一个反问题,即确定方程ｕｔｔ（ｘ,ｔ）－ｕｘｘ（ｘ,ｔ）＝∫ｋ（τ）ｕ（ｘ,ｔ－τ）ｄτ＋ｆ（ｘ,ｔ）中的ｕ（ｘ,ｔ）和积分核ｋ（ｔ）,得到了解的存在唯一性。     

半参数回归模型L-估计的渐近展开

对妆参数回归模型Ｙ＝x^Tβ＋g（ｔ）＋ε,构造了参数向量β的Ｌ－估计量－／λn,获得了－／λn的渐近正态性及分布的Ｅdgeworth展开,其速度可达到Ｏ(n^-1)。     

均匀设计中有重复试验的统计分析

本文先简要介绍有重复试验的回归分析理论及公式 ,再对一个例子重新给以计算及提出问题 ;最后笔者对此类数据的处理及 SAS统计软件包提出讨论意见 ,其中特别对常规的用平均数去取代试验结果的方法及当变量数超过样本数时用流行的逐步回归选取变量法提出批评。     

Asymptotic theory of nonparametric regression estimates with censored data

For regression analysis, some useful information may have been lost when the responses are right censored. To estimate nonparametric functions, several estimates based on censored data have been proposed and their consistency and convergence rates have been studied in literature, but the optimal rates of global convergence have not been obtained yet. Because of the possible information loss, one may think that it is impossible for an estimate based on censored data to achieve the optimal rates of global convergence for nonparametric regression, which were established by Stone based on complete data. This paper constructs a regression spline estimate of a general nonparametric regression function based on right_censored response data, and proves, under some regularity conditions, that this estimate achieves the optimal rates of global convergence for nonparametric regression. Since the parameters for the nonparametric regression estimate have to be chosen based on a data driven criterion, we also obtain the asymptotic optimality of AIC, AICC, GCV, Cp and FPE criteria in the process of selecting the parameters.     

关于型Ⅲ对称空间的热核构造

引进了第Ⅲ类典型城上的内切超圆坐标;计算出了矩阵极坐标下相应于不变度量的体积元素;利用积分变换构造出了不变度量的Ｌａｐｌａｃｅ－Ｂｅｌｔｒａｍｉ算子的热核．     

平面SH波传递算子反演方法

讨论了弹性水平层状介质中ＳＨ波的反演问题,在平面脉动ＳＨ波激励和反射模式下利用的传递算子方法逐层反演了介质的速度,密度和厚度,反演过程转化为线性回归,并且进行了数值模拟这种逐层反演方法简化了方程的阶数和计算量。     

Goodness of Fit Tests in Random Coefficient Regression Models

Random coefficient regressions have been applied in a wide range of fields, from biology to economics, and constitute a common frame for several important statistical models. A nonparametric approach to inference in random coefficient models was initiated by Beran and Hall. In this paper we introduce and study goodness of fit tests for the coefficient distributions; their asymptotic behavior under the null hypothesis is obtained. We also propose bootstrap resampling strategies to approach these distributions and prove their asymptotic validity using results by Giné and Zinn on bootstrap empirical processes. A simulation study illustrates the properties of these tests.