Nonparametric estimation of the sojourn time distributions for a multipath model

Summary. We use a multipath (multistate) model to describe data with multiple end points. Statistical inference based on the intermediate end point is challenging because of the problems of nonidentifiability and dependent censoring. We study nonparametric estimation for the path probability and the sojourn time distributions between the states. The methodology proposed can be applied to analyse cure models which account for the competing risk of death. Asymptotic properties of the estimators proposed are derived. Simulation shows that the methods proposed have good finite sample performance. The methodology is applied to two data sets.     

Pattern Matching

An important subtask of the pattern discovery process is pattern matching, where the pattern sought is already known and we want to determine how often and where it occurs in a sequence. In this paper we review the most practical techniques to find patterns of different kinds. We show how regular expressions can be searched for with general techniques, and how simpler patterns can be dealt with more simply and efficiently. We consider exact as well as approximate pattern matching. Also we cover both sequential searching, where the sequence cannot be preprocessed, and indexed searching, where we have a data structure built over the sequence to speed up the search.     

未完成的启蒙——丁玲《我在霞村的时候》新解

从启蒙现代性的视角来看,《我在霞村的时候》延续了"五四"运动的启蒙主义传统,提出了个人自由、婚姻自主的重大命题。但是这一主题被小说表面的"革命"叙事所遮蔽:"革命"中断了"启蒙"。一般来说,"革命"并不一定总是与"启蒙"相冲突,但在这篇小说中,作者显然认为,"革命"是与"启蒙"相冲突的。这就构成了小说在结构和叙事上的内在张力,使得它的意蕴扩张,具有了超越"革命"的不一般的意义。     

D-optimal block designs with at most six varieties

For given positive integers v, b, and k (all of them ≥2) a block design is a k × b array of the variety labels 1,…,v with blocks as columns. For the usual one-way heterogeneity model in standard form the problem is studied of finding a D-optimal block design for estimating the variety contrasts, when no balanced block design (BBD) exists. The paper presents solutions to this problem for v≤6. The results on D-optimality are derived from a graph-theoretic context. Block designs can be considered as multigraphs, and a block design is D-optimal iff its multigraph has greatest complexity (=number of spanning trees).     

Comparison of Confidence Procedures for Type I Censored Exponential Lifetimes

In the model of type I censored exponential lifetimes, coverage probabilities are compared for a number of confidence interval constructions proposed in literature. The coverage probabilities are calculated exactly for sample sizes up to 50 and for different degrees of censoring and different degrees of intended confidence. If not only a fair two-sided coverage is desired, but also fair one-sided coverage's, only few methods are quite satisfactory. A likelihood-based interval and a third root transformation to normality work almost perfectly, but the ²-based method that is perfect under no censoring and under type II censoring can also be advocated.     

试论《浮士德》与《女神》中泛神论“大我”思想

文章通过比较歌德与郭沫若的泛神论思想,突出了二位文学巨匠的共同追求--神即自然,自然即本体表现的"物我合一"的"大我"普遍圆满人格,并分别从民主的改良性和民主的斗争性的人格圆满定位中,确定"大我"的特殊具体涵义.     

话语批评学:关于一种文艺批评新模式的思考

话语理论作为一种同人类文化活动或表意实践密切相关的当代理论形态,已经深深渗透到哲学思考、文学研究、历史叙述等各种活动中,成为一种应用前景极为广阔的理论形态。将话语理论导入文学批评学领域,有可能改变现有中国文学批评的现状,并进而确立一种关于文学批评的更具针对性、批判性、整合性的新的文学批评模式——话语批评学。     

Rank Estimation of Log-Linear Regression with Interval-Censored Data

Interval-censored data arise in a wide variety of research and application fields such as cancer and AIDS studies. In this paper, we study a log-linear regression model when data are subject to interval censoring. We use a U-statistic based on ranks to estimate regression coefficients and establish large sample properties of the estimator. We illustrate the performance of the proposed estimate with simulations and a numerical example.     

Censoring,conditionally, and likelihood

The censoring principle is shown to imply a principle similar to the likelihood principle. Further, it is demonstrated that the censoring principle and a weak form of the conditionality principle jointly imply the likelihood principle.     

Inference from Accelerated Degradation and Failure Data Based on Gaussian Process Models

An important problem in reliability and survival analysis is that of modeling degradation together with any observed failures in a life test. Here, based on a continuous cumulative damage approach with a Gaussian process describing degradation, a general accelerated test model is presented in which failure times and degradation measures can be combined for inference about system lifetime. Some specific models when the drift of the Gaussian process depends on the acceleration variable are discussed in detail. Illustrative examples using simulated data as well as degradation data observed in carbon-film resistors are presented.