政府生产性基础设施投资对农业经济增长的影响——基于西安市的实证研究

根据西安市1988—2006年间的数据建立柯布一道格拉斯生产函数,在自回归分布滞后模型（ADL）下用最小二乘法（OLS）进行估计。实证分析结果显示：政府基础设施投资对西安市农业经济增长贡献显著,并且其作用远大于非基础设施投资的贡献,表明政府的生产性基础设施投资是西安市农业经济快速增长的关键因素。在此基础上,对西安市政府近期进行基础设施投资的重点方向提出了相关的政策建议。     

On distribution-weighted partial least squares with diverging number of highly correlated predictors

Summary.  Because highly correlated data arise from many scientific fields, we investigate parameter estimation in a semiparametric regression model with diverging number of predictors that are highly correlated. For this, we first develop a distribution-weighted least squares estimator that can recover directions in the central subspace, then use the distribution-weighted least squares estimator as a seed vector and project it onto a Krylov space by partial least squares to avoid computing the inverse of the covariance of predictors. Thus, distrbution-weighted partial least squares can handle the cases with high dimensional and highly correlated predictors. Furthermore, we also suggest an iterative algorithm for obtaining a better initial value before implementing partial least squares. For theoretical investigation, we obtain strong consistency and asymptotic normality when the dimension p of predictors is of convergence rate O { n ^1/2/ log ( n )} and o ( n ^1/3) respectively where n is the sample size. When there are no other constraints on the covariance of predictors, the rates n ^1/2 and n ^1/3 are optimal. We also propose a Bayesian information criterion type of criterion to estimate the dimension of the Krylov space in the partial least squares procedure. Illustrative examples with a real data set and comprehensive simulations demonstrate that the method is robust to non-ellipticity and works well even in 'small n –large p ' problems.     

Parallel tempering for dynamic generalized linear models

ABSTRACT

Markov chain Monte Carlo (MCMC) methods can be used for statistical inference. The methods are time-consuming due to time-vary. To resolve these problems, parallel tempering (PT), as a parallel MCMC method, is tried, for dynamic generalized linear models (DGLMs), as well as the several optimal properties of our proposed method. In PT, two or more samples are drawn at the same time, and samples can exchange information with each other. We also present some simulations of the DGLMs in the case and provide two applications of Poisson-type DGLMs in financial research.     

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.     

Testing the proportional odds model for interval-censored data

This paper discusses the goodness-of-fit test for the proportional odds model for K-sample interval-censored failure time data, which frequently occur in, for example, periodic follow-up survival studies. The proportional odds model has a feature that allows the ratio of two hazard functions to be monotonic and converge to one and provides an important tool for the modeling of survival data. To test the model, a procedure is proposed, which is a generalization of the method given in Dauxois and Kirmani [Dauxois JY, Kirmani SNUA (2003) Biometrika 90:913–922]. The asymptotic distribution of the procedure is established and its properties are evaluated by simulation studies     

环己基15-冠-5与La(NO_3)_3、Nd(NO_3)_3配合物的合成及振动光谱的研究

本文用环己基15-冠-5为配体合成了它与硝酸、硝酸钕形成的配合物.测定了它们的红外、激光拉曼等图谱,并讨论了不同配合物的振动光谱的变记情况.     

区域主导产业评价指标与数学模型

以现有研究成果为基础,建立了区域主导产业评价指标体系;基于灰色聚类的思想,提出了评价区域主导产业优度的数学模型-定权聚类评估模型,并对河南省武陟县工业主导产业选择进行了实证研究。     

设计部门如何控制工程造价

当前我国的基本建设和建筑业的预算超概算 .概算超估算的现象十分严重 ,要避免这一现象的发生 ,必须加强设计控制     

一种适用于NGSO MSS网络的混合信道分配方案

针对ＮＧＳＯＭＳＳ网络的动态特性,提出了一种适用于该网络的混合信道分配方案。在该方案中,固定信道采用非均匀压缩图案分配算法分配给各小区作为标称信道专用,并定期根据变化了的业务条件进行重新分配,动态信道的指派采用最先可行ＦＡ（ＦｉｒｓｔＡｖａｉｌａｂｌｅ）算法。仿真结果表明,在较宽的负载范围内,运用该方案比固定信道分配方案均有更好的性能,并能有效地降低切换呼叫和信道更新期间的呼损率,从而显著提高网络的业务承载量。     

社会心理学应着力于社会行为心理的整合研究

当代社会心理学是研究社会行为的内在体验和外在表现发展变化过程及其规律的整合科学。社会心理的外在行为律与社会行为的内在心理律是整合的关节点;社会行为的热点问题是整合的切入点;而聚群心理的外在行为律与聚群行为的内在心理律是优化整合的着力点;交互点是个人、群体、社会几个层面的交叉整合。