上海城乡一体化指标体系构建与实证分析

促进城乡一体化建设是我国现阶段的重要任务。本文通过社会构成四要素设计城乡一体化评价指标体系,采用主成分分析法和AHP法来综合测算2005-2011年上海城乡一体化发展水平。从测算结果可以看出,近年来上海城乡一体化水平逐渐下降,城乡融合度降低。其主要原因在于,尽管城市与农村环境、人口、生产、文化都在逐年改善,但城市发展速度快于农村,导致城乡差距逐渐拉大。最后,本文提出逐步提高上海城乡一体化程度的政策建议。     

以性统情，裱丽婉至--杨慎“主情”诗学观念及其创作实践研究

杨慎在哲学上主张“合性情”,反对将“性”“情”割裂来谈,同时又强调“以性统情”,使情欲在性的指引下得到合理发展与满足。杨慎“约情合性”“缘情绮靡”“含蓄蕴藉”的诗学主张便是这种“性情”观的体现。他还以自己的创作部分地实践了这种诗学观念,从而形成一种“穰丽婉至”的诗风。     

中国银行业市场化进程的度量

改革开放以来,中国银行业以市场化为导向的改革在稳步推进,特别是“十二五”时期,改革步伐明显加快。采用利率市场化、信贷控制、市场准入壁垒和银行业治理四大类指标,运用主成分赋权法,以每一个五年规划为时间段,对中国1981年到2015年间银行业的市场化进程进行了度量。度量发现中国银行业的市场化进程以脉冲方式向前推进,如果按市场化制度安排为主要赋值依据,“十二五”末期,中国的银行业市场化程度已经达到了88.7435的分值,银行业市场化已经进入了后半程。     

Exact Tests in Panel Data Using Generalized p-Values

In this article, we consider exact tests in panel data regression model with one-way and two-way error component for which no exact tests are available. Exact inferences using generalized p-values are obtained. When there are several groups of panel data, test for equal coefficients under one-way and two-way error component are derived.     

A Quality Control Approach of PVC Gloves Based on the Integration of SPC and EPC

Parameters in the production process of PVC gloves, such as production cycle, oven temperature, temperature, and viscosity of feed liquids are critical to the final quality of gloves. The dosing of feed liquids and plasticization of gloves are all controlled manually, and the viscosities of feed liquids and average oven temperature cannot be exactly regulated; those result in the degradation of final products and unreliability of the process. This article conducted studies on reliability enhancement of glove quality—an integrated control policy based on SPC and EPC was raised to minimize the process fluctuation, stabilize the output quality, and finally improve the process reliability. Using SPC method to eliminate the assignable factors in the process, when the process is under control, the EPC method was applied to make the process parameters closer to the target values which were decided through an inverse model of the process. The theory and methods were verified in the case study of PVC production control.     

Estimation on semi-functional linear errors-in-variables models

Abstract

Semi-functional linear regression models are important in practice. In this paper, their estimation is discussed when function-valued and real-valued random variables are all measured with additive error. By means of functional principal component analysis and kernel smoothing techniques, the estimators of the slope function and the non parametric component are obtained. To account for errors in variables, deconvolution is involved in the construction of a new class of kernel estimators. The convergence rates of the estimators of the unknown slope function and non parametric component are established under suitable norm and conditions. Simulation studies are conducted to illustrate the finite sample performance of our method.     

Quadratic perturbation expansions of certain functions of eigenvalues and eigenvectors and their application to sensitivity analysis in multivariate methods

Tanaka (1988) lias derived the influence functions, which are equivalent to the perturbation expansions up to linear terms, of two functions of eigenvalues and eigenvectors of a real symmetric matrix, and applied them to principal component analysis. The present paper deals with the perturbation expansions up to quadratic terms of the same functions and discusses their application to sensitivity analysis in multivariate methods, in particular, principal component analysis and principal factor analysis. Numerical examples are given to show how the approximation improves with the quadratic terms.     

A note on the satterthwaite confidence interval for a variance

When using a Satterthwaite chi-squared approximation, it is generally thought that the approximation is satisfactory when it is applied to a positive linear combination of mean squares. In this note, we describe how the Williams - Tukey idea for getting a confidence interval for the among groups variance in a random one-way model can be incorporated into Satterthwaite’s procedure for getting a confidence interval for a variance. This adjusted Satterthwaite procedure insures that his chi-squared approximation is always applied to positive linear combinations of mean squares. A small simulation is included which suggests that the adjustment to the Satterthwaite procedure is effective.     

Composite Marginal Likelihoods to the Normal Bradley-Terry Model

Inference in generalized linear mixed models with crossed random effects is often made cumbersome by the high-dimensional intractable integrals involved in the marginal likelihood. This article presents two inferential approaches based on the marginal composite likelihood for the normal Bradley-Terry model. The two approaches are illustrated by a simulation study to evaluate their performance. Thereafter, the asymptotic variances of the estimated variance component are compared.