一类平衡阶数为负整数的非线性偏微分方程的精确解

以齐次平衡原理为基础,给出了平衡阶数为负整数时的求解非线性偏微分方程的基本方法,并对方程ut=αuuxx+βu2x+p(u-u2)进行求解,到得了它的两个不同形式的精确解。     

Optimum constant-stress life test plans for Pareto distribution under type-I censoring

The paper considers the case of constant-stress partially accelerated life testing (CSPALT) when two stress levels are involved under type-I censoring. The lifetimes of test items are assumed to follow a two-parameter Pareto lifetime distribution. Maximum-likelihood method is used to estimate the parameters of CSPALT model. Confidence intervals for the model parameters are constructed. Optimum CSPALT plans that determine the best choice of the proportion of test units allocated to each stress are developed. Such optimum test plans minimize the generalized asymptotic variance of the maximum-likelihood estimators of the model parameters. For illustration, Monte Carlo simulation studies are presented.     

An almost sure central limit theorem for self-normalized partial sums of weakly dependent random variables

Abstract

We give here an almost sure central limit theorem for self-normalized partial sums of a strictly stationary φ-mixing sequences which is in the domain of attraction of the normal law with mean zero and possibly infinite variance. Our result substantially extend a result on the almost sure central limit theorem previously obtained by Huang and Pang (2010).     

Development of measures to assess dimensions of IS operation transactions

Information Systems (IS) researchers often rely on Organization Economics models to describe and explain various IS management issues. While those models are found to be useful, measures are yet to be proposed to assess the dimensions of IS transactions. In this paper we present the results of a study that was a first effort toward this end. The focus of the study was on one type of transaction, IS operations, in a particular management context, that of outsourcing. Measures were developed for four critical dimensions of IS operation transactions: asset specificity, measurement problem, origin of the most important investment, and governance mechanism. Data from 250 large Canadian firms were used to assess the measures, using the partial least squares technique.     

如何正确理解辩证法的矛盾范畴

要正确理解辩证法的矛盾范畴,就必须分清语言矛盾与实在矛盾、逻辑矛盾与辩证矛盾、广义矛盾与狭义矛盾的不同意义,并辨明矛盾与对立、否定、辩证法和系统论的关系.辩证矛盾在广义上讲,是任何系统内部或系统之间存在的否定或"自我背反"的性质及其表现,并由此造成系统的运动与变化,使同一变成不同一,对立变成不对立,一切皆向其反面转化.矛盾不是现成的对立与统一的关系,而是由否定造就对立与统一的运动的过程.     

对郭沫若诗歌制作道路的反思

目前 ,学术界以 2 1世纪文学史的眼光 ,要求打通中国现代当代 ,研究横跨现当代的作家。在中国现当代文学史上 ,郭沫若是一个伟大的存在 ,也是个复杂的存在。本文通过勾勒他诗歌创作态势 ,从他文艺理论的偏颇和生存境遇的状况入手 ,对郭沫若诗歌道路进行反思。这将有助于我们解说 2 0世纪中国文学的“生存境遇”及 2 0世纪中国文学的审美机制。     

连锁型“不A不B”格式的认知模式

“不A不B”格式有能自由成词、语素自由应用和非自由成词、语素不能独立应用的语形特点 ,有其特有的功能 ,有其双核线性离散式、单核聚焦式、双核聚焦式、单核凝结整合式的认知模式。     

会话隐涵的语用否定

本文从语用学的角度,探讨了否定作用于会话隐涵的标识性用法,指出否定可影响话语表达的适宜性;文章试图分析汉英语用否定在词法、句法等方面的特点,并扼要讨论了这种否定的交际功能。     

Dirichlet法则的一个注记

本文用一般自伴椭圆二阶偏微分方程代替调和方程,给出Dirichlet法则的推广。     

Illustration of Sampling-Based Methods for Uncertainty and Sensitivity Analysis

A sequence of linear, monotonic, and nonmonotonic test problems is used to illustrate sampling-based uncertainty and sensitivity analysis procedures. Uncertainty results obtained with replicated random and Latin hypercube samples are compared, with the Latin hypercube samples tending to produce more stable results than the random samples. Sensitivity results obtained with the following procedures and/or measures are illustrated and compared: correlation coefficients (CCs), rank correlation coefficients (RCCs), common means (CMNs), common locations (CLs), common medians (CMDs), statistical independence (SI), standardized regression coefficients (SRCs), partial correlation coefficients (PCCs), standardized rank regression coefficients (SRRCs), partial rank correlation coefficients (PRCCs), stepwise regression analysis with raw and rank-transformed data, and examination of scatter plots. The effectiveness of a given procedure and/or measure depends on the characteristics of the individual test problems, with (1) linear measures (i.e., CCs, PCCs, SRCs) performing well on the linear test problems, (2) measures based on rank transforms (i.e., RCCs, PRCCs, SRRCs) performing well on the monotonic test problems, and (3) measures predicated on searches for nonrandom patterns (i.e., CMNs, CLs, CMDs, SI) performing well on the nonmonotonic test problems.