Nonparametric regression with cross‐classified responses

In this article, we develop regression models with cross‐classified responses. Conditional independence structures can be explored/exploited through the selective inclusion/exclusion of terms in a certain functional ANOVA decomposition, and the estimation is done nonparametrically via the penalized likelihood method. A cohort of computational and data analytical tools are presented, which include cross‐validation for smoothing parameter selection, Kullback–Leibler projection for model selection, and Bayesian confidence intervals for odds ratios. Random effects are introduced to model possible correlations such as those found in longitudinal and clustered data. Empirical performances of the methods are explored in simulation studies of limited scales, and a real data example is presented using some eyetracking data from linguistic studies. The techniques are implemented in a suite of R functions, whose usage is briefly described in the appendix. The Canadian Journal of Statistics 39: 591–609; 2011. © 2011 Statistical Society of Canada     

Optimal estimation of a finite population mean under generalized random permutation models

Employing certain generalized random permutation models and a general class of linear estimators of a finite population mean, it is shown that many of the conventional estimators are “optimal” in the sense of minimum average mean square error. Simple proofs are provided by using a well-known theorem on UMV estimation. The results also cover certain simple response error situations.     

To Leave an Area After Disaster: How Evacuees from the WTC Buildings Left the WTC Area Following the Attacks

How people leave a devastated area after a disaster is critical to understanding their ability to cope with risks they face while evacuating. Knowledge of their needs for communications about these risks is particularly crucial in planning for emergency responses. A convenience sample of 1,444 persons who survived the World Trade Center (WTC) attacks on September 11, 2001 were surveyed to ascertain their initial and ultimate destinations once they had left the buildings, how they arrived there, the role of types of obstacles they encountered, and the need for information and the seeking of other people as potential factors in influencing the process of leaving immediately. This survey was part of a larger, original survey. Results showed differences in how people traveled by mode to initial and ultimate destinations, how immediately they left the area, and factors associated with when they left. How they traveled and when they left were associated with where people lived, their tendency in times of stress to seek out other people including who they knew in the immediate area (e.g., co‐workers or friends), the physical conditions surrounding them, and the importance to some of waiting for more information. Many people indicated they did not leave immediately because they had no information about where to go or what services would be available to them. Perceptions and communications about risks they were facing were reflected in the choices they considered in how and when to leave the area. These findings have numerous ramifications for understanding and guiding personal behavior in catastrophic situations.     

3G“杀手级”业务的产生和培育

3G时代的到来无疑为电信市场的发展带来了机遇和挑战，到底怎样的电信业务能在新时代中脱颖而出，成为业内人士心驰神往的“杀手级”业务，的确是个耐人寻味的问题。在对“杀手级”业务所应具备的基本条件作探讨的同时，对“杀手级”业务的培育策略进行了分析，认为“杀手级”业务本不存在，它的形成是市场多方因素共同努力的结果。     

Occupancy numbers for dynamic heterogeneous populations: Estimate of particles lifetimes

A dynamic model of a heterogeneous population is studied. Particles belonging to a population are divided, at every time t, into a finite number of classes according to their types and the partition changes over time. The role of the occupancy numbers, namely the cardinality of each class, is highlighted. The relationship between the stochastic process of occupancy numbers and the process of particle types is analyzed. The main goal of this paper is the estimation of the lifetime of each particle at a given time t, when the observed data are the history of the process of the number of dead particles up to t. Furthermore, a discrete time approximation of the filter is given.     

Comparing relative importance of the same component in a series system in two environments

The relative performance of a component of a series system in two different environments is considered. The conditional probability of the failure of the system due to the failure of the specified component given that the system failed before time t is regarded as a measure of relative importance of the component to the system. A U-statistic test for checking the equality of the relative importance of the component to the system in two different environments against the alternative that the relative importance is smaller in one of the environments, is proposed. Some simulation results for estimating the power of the test are reported. The proposed test is applied to one real data set and it is seen that a different aspect of the data is brought out by this comparison than that by the comparisons of the absolute importance functions such as the subsurvival functions, considered in earlier studies.     

十一届三中全会党认识和处理历史问题条件探微

本文主要论述了十一届三中全会党认识和处理历史问题的主、客条件,即十一届三中全会党能正确地认识和处理历史问题,是承继了党的传统,是历史发展的要求,是时代发展的要求,是党的战略发展的要求,是老一辈无产阶级革命家艰辛努力的结果。     

局部环上典型群的非双曲型

引入域上典型群的生成问题所得的成果；对局部环R上典型群生成问题研究，构造度量函数及一平延，为局部环R上典型群向域F上的典型群导入，给出典型群的非双曲型．