外贸企业汇率风险应急机制属性综合评价模型

企业管理者对于自身汇率风险应急机制情况的准确了解可以增强应对汇率风险的能力,如何客观地对汇率风险应急机制进行综合评价就显得至关重要。基于应急管理理论与汇率风险的特点,建立了汇率风险应急机制指标体系,然后利用层次分析法确定评价指标权重,运用属性测度理论构建了评价模型。最后通过算例分析,说明了该方法有可行性,能够为管理者提供科学、合理的决策依据。     

合成碳硅石的宝石学特征及鉴别

合成碳硅石作为钻石的替代品，混淆了宝石专家的鉴定视线。本文系统地探讨了合成碳硅石的宝石学特征及鉴别方法，以期能区别于钻石。     

A generalized improvement procedure for variance bounds for minimum variance unbiased estimator in inverse sampling

New bounds are obtained for the variance of the minimum variance unbiased estimator of p i n inverse sampling. A generalized procedure for further improving the bounds is also discussed.     

无阻尼单摆运动方程反函数形式的精确解

利用函数进行变换,将单摆的二阶非线性微分方程化为一阶非线性微分方程进行积分求解,再利用三角函数变换,最后求出用Legendre椭圆积分表示的无阻尼单摆运动方程反函数形式的精确解。     

Examining the robustness of fully synthetic data techniques for data with binary variables

There is a growing demand for public use data while at the same time there are increasing concerns about the privacy of personal information. One proposed method for accomplishing both goals is to release data sets that do not contain real values but yield the same inferences as the actual data. The idea is to view confidential data as missing and use multiple imputation techniques to create synthetic data sets. In this article, we compare techniques for creating synthetic data sets in simple scenarios with a binary variable.     

Equality of two blues and ridge-type estimates

Equality is shown of the g-inverse and Moore-Penrose inverse representation of the BLUE in the general linear model. The proof is based on a matrix identity which allows also to establish a functional relationship between the BLUE and Ridge-type estimates.     

地方可持续发展综合评估研究──以南阳市为例

在探讨可持续发展本质的基础上，构建了由人口、资源、环境、经济、社会和能力等指标组成的地方可持续发展综合评估框架体系，通过主成分分析对初次筛选的236个指标进行了选择，构造出南阳市可持续发展6大类60个指标，提出用加权求和法计算综合评估值，其权重由AHP法确定。最后，计算了南阳市被确定为国家可持续发展试点城市以来各年的综合评估值，并对结果进行了简要分析。     

Partial least squares estimator for single-index models

The partial least squares (PLS) approach first constructs new explanatory variables, known as factors (or components), which are linear combinations of available predictor variables. A small subset of these factors is then chosen and retained for prediction. We study the performance of PLS in estimating single-index models, especially when the predictor variables exhibit high collinearity. We show that PLS estimates are consistent up to a constant of proportionality. We present three simulation studies that compare the performance of PLS in estimating single-index models with that of sliced inverse regression (SIR). In the first two studies, we find that PLS performs better than SIR when collinearity exists. In the third study, we learn that PLS performs well even when there are multiple dependent variables, the link function is non-linear and the shape of the functional form is not known.     

A further note on a theorem on the difference of the generalized inverses of two nonnegative definite matrices

Andrews and Phillips (1986) gave a simplified proof for the result that established the nonnegative definiteness of the difference of the Moore-Penrose inverses of two nonoegative definite matrices, a result originally due to Milliken and Akdeniz (1977), The purpose of this paper is to offer a simple proof for a generalization of this result,     

Analysis of a factorial quantal response assay using inverse regression

An inverse regression approach to analyzing quantal response assays with one quanritative independent- variable and any number of qualitative independent variables is presented. A general factorial model ror LQC- inverted relationship and methods of testing hypotheses estimating qulitative Interest are developed. This naper provides a modified method of analysis which is easier to apply than previously existing methods.