论《齐民要术》新生复合词中的同义词

《齐民要术》是中古时期口语性较强的一部农业科技著作，书中使用了较多复合词，有的复合词意义相近或相关，彼此聚合成群，形成了不同的同义词词场。这些同义词词场中的复合词在构词上都有相同的特点：即构成复合词的两个语素单用时意义相近或相关，这样的复合词应是当时的语言社团根据已有的并列式构词法创造的新词。在汉语词汇的历时发展中，《齐民要术》中使用的同义复合词呈现出不同的发展结果：由曾经常用的单音词作语素构成的复合词或易于通过隐喻机制形成新义的复合词使用频率相对较高，生命力相对较强，在竞争中也相对较容易发展成汉语中的常用复合词；使用频率低或难以产生隐喻引申义的复合词很容易退出语言交际领域，从而成为汉语词汇历史发展中某阶段的陈迹。     

Cumulants of random sum distributions

Consider a random variable S being the sum of a number N of independent and identically distributed random variables X_j (j = 1, 2, ...) where the number N is itself a non-negative integer-valued random variable independent of the X_j An explicit expression of the r-th cumulant of S is given in terms of the cumulants of N and X_j, Asymptotic properties of the distribution of S are also discussed.     

A generalization of the compound rayleigh distribution: using a bayesian method on cancer survival times

In this paper the generalized compound Rayleigh model, exhibiting flexible hazard rate, is high¬lighted. This makes it attractive for modelling survival times of patients showing characteristics of a random hazard rate. The Bayes estimators are derived for the parameters of this model and some survival time parameters from a right censored sample. This is done with respect to conjugate and discrete priors on the parameters of this model, under the squared error loss function, Varian's asymmetric linear-exponential (linex) loss function and a weighted linex loss function. The future survival time of a patient is estimated under these loss functions. A Monte Carlo simu¬lation procedure is used where closed form expressions of the estimators cannot be obtained. An example illustrates the proposed estimators for this model.     

Risk aggregation with dependence and overdispersion based on the compound Poisson INAR(1) process

Abstract

This paper considers an extension of the classical discrete time risk model for which the claim numbers are assumed to be temporal dependence and overdispersion. The risk model proposed is based on the first-order integer-valued autoregressive (INAR(1)) process with discrete compound Poisson distributed innovations. The explicit expression for the moment generating function of the discounted aggregate claim amount is derived. Some numerical examples are provided to illustrate the impacts of dependence and overdispersion on related quantities such as the stop-loss premium, the value at risk and the tail value at risk.     

汉字与复合词

本文从认知语言学范畴理论来讨论汉字及其复合构词。论文首先讨论了意象如何是主观想象活动对认知信息进行加工的产物,意象图式是语义概念范畴里重要的成分。论文然后分析汉字由形义符和声义符构造的隐喻意象图式特性,以及范畴意象图式所揭示在单字词原型意义(本源义)。论文最后讨论汉语复合词的特点以及与范畴复合的映射,在此基础上讨论汉语复合词的词核构造里的广义形态,以及广义形态里的语义句法关系。     

东北三省外语院校英语专业复合型人才培养研究

复合型外语人才培养模式以专业为基础,使外语作为技能、工具与专业相结合,提高学生的英语应用能力和文化素养,这类复合型人才具有广泛的社会适应性,并将带来巨大的人才效应。基于对当今世界上学科融合发展趋势的认识和对就业市场调查的结果,提出东北三省英语专业复合型人才培养目标,探讨研究适应东北三省复合型英语专业人才培养的问题和复合型英语专业人才培养的定位,包括对传统领域的基础英语的语言教学和其他专业学科融合的教学之间的关系问题的研究。     

Bayesian robustness of the compound Poisson distribution under bidimensional prior: an application to the collective risk model

The distribution of the aggregate claims in one year plays an important role in Actuarial Statistics for computing, for example, insurance premiums when both the number and size of the claims must be implemented into the model. When the number of claims follows a Poisson distribution the aggregated distribution is called the compound Poisson distribution. In this article we assume that the claim size follows an exponential distribution and later we make an extensive study of this model by assuming a bidimensional prior distribution for the parameters of the Poisson and exponential distribution with marginal gamma. This study carries us to obtain expressions for net premiums, marginal and posterior distributions in terms of some well-known special functions used in statistics. Later, a Bayesian robustness study of this model is made. Bayesian robustness on bidimensional models was deeply treated in the 1990s, producing numerous results, but few applications dealing with this problem can be found in the literature.     

Tests for compound periodicities and estimating a non linear function

We propose two tests for testing compound periodicities which are the uniformly most powerful invariant decision procedures against simple periodicities. The second test can provide an excellent estimation of a compound periodic non linear function from observed data. These tests were compared with the tests proposed by Fisher and Siegel by Monte Carlo studies and we found that all the tests showed high power and high probability of a correct decision when all the amplitudes of underlying periods were the same. However, if there are at least several different periods with unequal amplitudes, then the second test proposed always showed high power and high probability of a correct decision, whereas the tests proposed by Fisher and Siegel gave 0 for the power and 0 for the probability of a correct decision, whatever the standard deviation of pseudo normal random numbers. Overall, the second test proposed is the best of all in view of the probability of a correct decision and power.     

复合期权在R＆D项目投资评价中的应用

如何评价R&D项目投资已成为目前理论界关注的一个热点。对R&D项目投资的基本评价方法———贴现现金流法 (DCF)已越来越不能适应R&D项目管理的复杂性和不确定性 ,而实物期权方法以其能够灵活评价不确定性条件下的投资项目未来的增长机会的特点 ,受到越来越多的关注。借鉴了Geske提出的复合期权模型 ,将R&D项目看作一个复合期权 ,建立了R&D项目的投资评价模型     

日语复合动词中的甚词研究

日语复合动词里的部分后项动词以及部分前项动词在构词过程中产生了语法化变化,失去了该词汇所具有的本来意义。其语法作用相当于汉语中表示极端程度的甚词表达,主要用来表示程度或者强调等意义。但是,日语甚词表达和汉语甚词表达之间在所用词汇上没有交集。所以,不能使用汉语甚词表达去套用日语的甚词表达。