Testing Theories of Choice Under Risk: Estimation of Individual Functionals

The method introduced here allows us to use a data set with a non-restricted number of outcomes, here 21. Hence, our method complements the other ones developed in the domain of the probability triangle. Individual parameters are estimated for expected utility and various non-expected utility theories. We use CRRA and CARA utility functions, both without and with the assumption of weakly concavity. Rank-dependent utility, prospective reference and cognitive consistency theories emerge from the others.An erratum to this article can be found at     

Basic notions for the analysis of large two-mode networks

Many large real-world networks actually have a two-mode nature: their nodes may be separated into two classes, the links being between nodes of different classes only. Despite this, and despite the fact that many ad hoc tools have been designed for the study of special cases, very few exist to analyse (describe, extract relevant information) such networks in a systematic way. We propose here an extension of the most basic notions used nowadays to analyse large one-mode networks (the classical case) to the two-mode case. To achieve this, we introduce a set of simple statistics, which we discuss by comparing their values on a representative set of real-world networks and on their random versions. This makes it possible to evaluate their relevance in capturing properties of interest in two-mode networks.     

H-likelihood: problems and solutions

In recent issues of this journal it has been asserted in two papers that the use of h-likelihood is wrong, in the sense of giving unsatisfactory estimates of some parameters for binary data (Kuk and Cheng, 1999; Waddington and Thompson, 2004) or theoretically unsound (Kuk and Cheng, 1999). We wish to refute both these assertions.     

An application of a minimax Bayes rule and shrinkage estimators to the portofolio selection problem under the Bayesian approach

This paper shows that a minimax Bayes rule and shrinkage estimators can be effectively applied to portfolio selection under the Bayesian approach. Specifically, it is shown that the portfolio selection problem can result in a statistical decision problem in some situations. Following that, we present a method for solving a problem involved in portfolio selection under the Bayesian approach.     

Law of iterated logarithm and almost sure limit points for random sums

Let {X_n,n≥1} be a sequence of independent identically distributed (i.i.d) random variables with a common distribution function F. When F belongs to the domain of partial attraction of a Semi-Stable law with index ,0<<2, we give complete solution to the results of R. Vasudeva and G. Divanji [Law of iterated logarithm for random subsequences, Statist. Probab. Lett. 12 (1991) 189–194], where they obtained Chover’s form of the law of iterated logarithm for random subsequences. Further, we extended the situation in obtaining almost sure limit points for random subsequences.     

汉字的意象性与文学性的视像化

汉语文字的意象性比任何其他表音文字都鲜明、强烈、特殊,这是因为汉语主要是一种表意文字,而它的特征就在于它是形、音、义的对立统一,因此,汉字的形、音、义是既相对独立的,而又相互统一的。这样形、音、义的对立统一所形成的汉字的意象性,使得汉语语言艺术的文学性可以得到最充分的彰显,因为所谓文学性就是使语言文字结构成为美的艺术形态的那些内在规定性,即外观形象性,情感感染性,超越功利性,而文学性与语言文字的意象性密切相关,尤其是在当今信息化时代,语言文字信息的视像化转换就特别显现出汉字的意象性的优越性,它最适合文学作为语言艺术的信息视像化。     

Estimation for hidden Markov random fields

A finite state Markov random field is noisily observed via a second finite state process. The parameters of the model are estimated, as well as the most likely signal given the observations.     

公用事业的民营化

公用事业民营化是一种国际化潮流。本文就民营化的内涵,民营化的国际背景和现实背景,民营化的积极作用以及相应政策建议作初步的探讨。     

燃烧诱发的炉墙结构振动

本文根据实测得到的国产300MW锅炉燃烧压力场功率谱密度函数,研究了用计算方法估计由燃烧诱发的结构振动,并与用实测方法获得的振动值作了对比,结果很接近。从而证明计算所用的数据与方法是可靠的。     

论自首制度的本质

自首的本质与自首制度的本质并不是同一概念。作者从法理学、犯罪学和刑事立法的具体规定对自首制度本质加以分析 ,并结合刑事司法实践进行论证 ,首次指出自首制度的本质必然是功利。这一结论对于更透彻地理解自首、自首制度 ,准确地把握刑法第 6 7条之规定 ,以及司法实践中自首的认定具有重要的指导意义。