2,3──二氨基吩嗪光谱特性研究及应用

研究了各种介质中不同酸度对2,3──二氨基吩嗪（DAP）的光谱特性的影响,发现非离子表面活性剂以及极性有机溶剂对其荧光具有强烈的增敏作用,荧光量子产率大大提高,而且强极性有机溶剂在无水环境下,对其荧光增敏比非离子表面活性剂更强。建立了有机介质和非离子表面活性剂介质荧光增敏的测定方法,并对各种介质增敏机理进行了讨论。     

制革铬鞣废水中铬(Ⅲ)的治理和回收利用

采用沉淀－双氧水氧化法,对制革铬鞣废水中铬（Ⅲ）的治理和回收利用进行了研究．该法对铬（Ⅲ）的回收率可达９２％,处理后废水澄清,无色,无味,稳定,ｐＨ值８～８．５．     

Within groups analysis of covariance: multiple comparisons at specified design points using a robust measure location when there is curvature

Consider the situation where measurements are taken at two different times and let M_j(x) be some conditional robust measure of location associated with the random variable Y at time j, given that some covariate X=x. The goal is to test H₀: M₁(x)=M₂(x) for each x∈ x₁,?…?, x_K such that the probability of one or more Type I errors is less than α, where x₁,?…?, x_K are K specified values of the covariate. The paper reports simulation results comparing two methods aimed at accomplishing this goal without specifying some parametric form for the regression line. The first method is based on a simple modification of the method in Wilcox [Introduction to robust estimation and hypothesis testing. 3rd ed. San Diego, CA: Academic Press; 2012, Section 11.11.1]. The main result here is that the second method, which has never been studied, can have higher power, sometimes substantially so. Data from the Well Elderly 2 study, which motivated this paper, are used to illustrate that the alternative approach can make a practical difference. Here, the estimate of M_j(x) is based in part on either a 20% trimmed mean or the Harrell–Davis quantile estimator, but in principle the more successful method can be used with any robust location estimator.     

Addition of runs to an s-level supersaturated design

The purpose of the present work is to extend the work of Gupta et al. (2010) to s  -level column balanced supersaturated designs. Addition of runs to an existing E(χ²)-optimal$E({\chi }^{\mathrm{<font\; color="red">2</font>}})\mathrm{-}\mathrm{optimal}$ supersaturated design and to study the optimality of the resulting design is an important issue. This paper considers the study of the optimality of the resulting design. A lower bound to E(χ²)$E({\chi }^{\mathrm{<font\; color="red">2</font>}})$ has been obtained for the extended supersaturated designs. Some examples and a small catalogue of E(χ²)-optimal$E({\chi }^{\mathrm{<font\; color="red">2</font>}})\mathrm{-}\mathrm{optimal}$ supersaturated designs are also presented.     

Lack-of-fit testing of a regression model with response missing at random

This paper proposes a class of lack-of-fit tests for fitting a linear regression model when some response variables are missing at random. These tests are based on a class of minimum integrated square distances between a kernel type estimator of a regression function and the parametric regression function being fitted. These tests are shown to be consistent against a large class of fixed alternatives. The corresponding test statistics are shown to have asymptotic normal distributions under null hypothesis and a class of nonparametric local alternatives. Some simulation results are also presented.     

Convexity-based clustering criteria: theory,algorithms, and applications in statistics

This paper deals with the construction of optimum partitions 260_2003_Article_69_TeX2GIFEqu1.gif" alt="${\cal B} = (B_1,...,B_m)$" align="middle" border="0"> of 260_2003_Article_69_TeX2GIFEqu2.gif" alt="$I\hspace{-4.0pt}R^p$" align="middle" border="0"> for a clustering criterion which is based on a convex function of the class centroids 260_2003_Article_69_TeX2GIFEqu3.gif" alt="$E[X\vert X\in B_i]$" align="middle" border="0"> as a generalization of the classical SSQ clustering criterion for n data points. We formulate a dual optimality problem involving two sets of variables and derive a maximum-support-plane (MSP) algorithm for constructing a (sub-)optimum partition as a generalized k-means algorithm. We present various modifications of the basic criterion and describe the corresponding MSP algorithm. It is shown that the method can also be used for solving optimality problems in classical statistics (maximizing Csiszár217.gif" alt="rsquo" align="BASELINE" BORDER="0">s 260_2003_Article_69_TeX2GIFEqu4.gif" alt="$\phi$" align="middle" border="0"> -divergence) and for simultaneous classification of the rows and columns of a contingency table.     

A new lower bound to A2-optimality measure for multi-level and mixed-level column balanced designs and its applications

In this paper, a new lower bound to A₂-optimality measure is derived and is applied to multi-level and mixed-level column balanced designs. A₂-optimal multi-level and mixed-level designs are obtained by the application of the new lower bound.     

A test statistic for weighted runs

A new test statistic based on runs of weighted deviations is introduced. Its use for observations sampled from independent normal distributions is worked out in detail. It supplements the classic χ² test which ignores the ordering of observations and provides additional sensitivity to local deviations from expectations. The exact distribution of the statistic in the non-parametric case is derived and an algorithm to compute p-values is presented. The computational complexity of the algorithm is derived employing a novel identity for integer partitions.     

A copula regression model for estimating firm efficiency in the insurance industry

This article considers the estimation of insurers’ cost-efficiency in a longitudinal context. The current practice ignores the tails of the cost distribution, where the most and least efficient insurers belong to. To address this issue, we propose a copula regression model to estimate insurers’ cost frontier. Both time-invariant and time-varying efficiency are adapted to this framework and various temporal patterns are considered. In our method, flexible distributions are allowed for the marginals, and the subject heterogeneity is accommodated through an association matrix. Specifically, when fitting to the insurance data, we perform a GB2 regression on insurers total cost and employ a t-copula to capture their intertemporal dependencies. In doing so, we provide a nonlinear formulation of the stochastic panel frontier and the parameters are easily estimated by likelihood-based method. Based on a translog cost function, the X-efficiency is estimated for US property-casualty insurers. An economic analysis provides evidences of economies of scale and the consistency between the cost-efficiency and other performance measures.