A Universal QQ-Plot for Continuous Non-homogeneous Populations

This article presents a universal quantile-quantile (QQ) plot that may be used to assess the fit of a family of absolutely continuous distribution functions in a possibly non-homogeneous population. This plot is more general than probability plotting papers because it may be used for distributions having more than two parameters. It is also more general than standard quantile-quantile plots because it may be used for families of not-necessarily identical distributions. In particular, the universal QQ plot may be used in the context of non-homogeneous Poisson processes, generalized linear models, and other general models.     

刘国芳小小说的情节结构类型

刘国芳是全国知名的小小说作家,探讨他那些数量惊人的小小说作品内在的情节结构类型,是小小说评论界深刻把握刘国芳创作必然要做的理论归纳工作。概括起来,刘国芳小小说主要有以下几种情节结构类型:递升反转式、释悬曲转式、反跌对比式、变异重复式。     

论沈从文小说故事观的艺术运筹

沈从文不仅是一位抒情小说大师,更是擅讲故事的高手.他的故事观艺术性地体现在他的一系列以湘西为题材的小说创作实践中:用故事来抒发情感;"求真"与"求美"、"写实"与"写梦"相结合;长于用情节的逆转手法;象征化的叙事等等,显示了极其深厚的叙事功力.     

"十七年"情节观念的形成及其影响

将情节视为人物的事迹、历史和附属,这是"十七年"文学的基本观念。形成这种观念的主要原因有"五四"人文主义文学传统、高尔基的情节观、恩格斯的"典型环境中的典型性格"说和描写新的英雄人物的需要。这种情节观念影响了"十七年"文学的创作实践,也延伸到了20世纪90年代中期,它发展到极端就是将人物内涵极力紧缩的"三突出"和将人物功能无限扩展的"主体性。"     

论小说诸要素审美价值的嬗变

当后现代小说正致力于淡化情节,淡化人物,淡化主题,等等,并愈来愈呈现出诡异的面目时,传统小说的必备要素似乎已被弃置一旁.这里旧话新提,针对小说的情节、人物、主题、环境、基调和气氛等传统要素的审美价值,历时性地检视其嬗变过程,为身处后现代语境之中的读者更好地把握小说的阅读和鉴赏提供参考.     

A Note on the Non-equivalence of the Neyman-Pearson and Generalized Likelihood Ratio Tests for Testing a Simple Null versus a Simple Alternative Hypothesis

Despite the great increase in the use of color in statistical graphics, we know very little about how color affects people's perception of the quantitative information on graphical displays. Perceptual psychologists have already demonstrated that color can cause optical illusions of various kinds. We ran a simple experiment to see if this can happen with a statistical map and found that an illusion did occur.     

隐含作者的想象制作:《文心雕龙》历史叙事性批评话语的深层结构

历史叙事性是《文心雕龙》批评话语的一个显著特质。话语能指层面所标明的显而易见的历史叙事性,只构成了它的表层结构,其深层结构是制作者刘勰建构多种情节结构,使文学历史事实成为可理解的现象的过程。凭着某些先见,由对文学的一般认识和对批评客体的提炼,特别是主要遵循时序性、程序化和相似性原则以及神话-原型模式,刘勰对众多包括文学在内的历史事实进行想象制作,也即把历史编排为某种特定的情节结构,并以此阐释文学。因此,这是一种作为修辞的叙事。     

论新世纪工业题材长篇小说的情节模式

一个时代有一个时代的文学,每一种艺术形式都负载着特定的生产方式及意识形态所规定的意义。与传统工业题材小说基于阶级斗争、生产矛盾、思想冲突设置叙事框架不同,新世纪工业叙事显现独特的叙述特征和艺术追求,其主要情节可以概括为编年体、成长、“生活流”三大模式。三大模式具有丰富的具体内容和深厚的文化蕴涵,表达了创作者和阅读者特定的文化心理诉求,但也存有值得警惕的趋于“另一种模式化”的隐忧。     

Computing first-order sensitivity indices with contribution to the sample mean plot

In this paper, we investigate the use of the contribution to the sample mean plot (CSM plot) as a graphical tool for sensitivity analysis (SA) of computational models. We first provide an exact formula that links, for each uncertain model input X_j, the CSM plot C_j(·) with the first-order variance-based sensitivity index S_j. We then build a new estimate for S_j using polynomial regression of the CSM plot. This estimation procedure allows the computation of S_j from given data, without any SA-specific design of experiment. Numerical results show that this new S_j estimate is efficient for large sample sizes, but that at small sample sizes it does not compare well with other S_j estimation techniques based on given data, such as the effective algorithm for computing global sensitivity indices method or metamodel-based approaches.     

Inference for the Birnbaum–Saunders Lifetime Regression Model with Applications

The Birnbaum–Saunders distribution is a positively skewed distribution that is frequently used for analyzing lifetime data. Regression analysis is widely used in this context when some covariates are involved in the life-test. In this article, we discuss the maximum likelihood estimation of the model parameters and associated inference. We discuss the likelihood-ratio tests for some hypotheses of interest as well as some interval estimation methods. A Monte Carlo simulation study is then carried out to examine the performance of the proposed estimators and the interval estimation methods. Finally, some numerical data analyses are done for illustrating all the inferential methods developed here.