关于岩石破碎的三角形效应研究

本文从分形几何学的角度研究了岩石的断裂规律，从理论上论述了岩石破碎的三角形效应，并给出了一般岩石破碎的数学模型．     

一种定量敏感性问题的随机化调查方法

在敏感性问题的随机化调查中,既有调查个体是否具有敏感属性的二值敏感性问题,即属性特征问题,又有调查特定人群中敏感指标量的“多少”问题,即定量特征敏感性问题.对于定量特征敏感性问题的调查,E ichhorn,H aryre于1983年提出了一种随机化调查方法,并给出了定量敏感问题指标量均值的一个无偏估计.本文提出一种定量特征敏感性问题的随机化调查方法,得到的结果表明,本文提出的方法优于E ichhorn,H aryre(1983)提出的方法.     

Bivariate income distributions with lognormal conditionals

In this paper, the most general bivariate distribution with lognormal conditionals is fully characterized, using the methodology proposed by [3]. The properties of the new family are studied in detail, including marginal and conditional distributions, regression functions, dependence measures, moments and inequality measures. The new distribution is very broad, and contains as a particular case the classical bivariate lognormal distribution. Several subfamilies are studied and a generalization of the basic model is discussed. Finally, we present an empirical application. We estimate and compare the basic model proposed in the paper with a classical model, using data from the European Community Household Panel in different periods of time.     

Bootstrapping data with multiple levels of variation

The authors consider general estimators for the mean and variance parameters in the random effect model and in the transformation model for data with multiple levels of variation. They show that these estimators have different distributions under the two models unless all the variables have Gaussian distributions. They investigate the asymptotic properties of bootstrap procedures designed for the two models. They also report simulation results and illustrate the bootstraps using data on red spruce trees.     

A Mixed Model Approach for Geoadditive Hazard Regression

Abstract.  Mixed model based approaches for semiparametric regression have gained much interest in recent years, both in theory and application. They provide a unified and modular framework for penalized likelihood and closely related empirical Bayes inference. In this article, we develop mixed model methodology for a broad class of Cox-type hazard regression models where the usual linear predictor is generalized to a geoadditive predictor incorporating non-parametric terms for the (log-)baseline hazard rate, time-varying coefficients and non-linear effects of continuous covariates, a spatial component, and additional cluster-specific frailties. Non-linear and time-varying effects are modelled through penalized splines, while spatial components are treated as correlated random effects following either a Markov random field or a stationary Gaussian random field prior. Generalizing existing mixed model methodology, inference is derived using penalized likelihood for regression coefficients and (approximate) marginal likelihood for smoothing parameters. In a simulation we study the performance of the proposed method, in particular comparing it with its fully Bayesian counterpart using Markov chain Monte Carlo methodology, and complement the results by some asymptotic considerations. As an application, we analyse leukaemia survival data from northwest England.     

创造性思维的自组织机制

创造性思维的产生有着深刻的自组织机理,思维系统的开放是产生创造性思维的先决条件;非线性机制是创造性思维产生的内在根据;随机涨落是创造性思维产生的直接诱因。     

等概率原则在多阶段随机抽样中的实践问题

等概率原则是多阶段随机抽样过程中必须体现的原则。通过对分立式多阶段随机抽样方式的分析 ,发现在其随机抽样过程中存在着违背等概率原则的问题。据此 ,提出综合式多阶段随机抽样的方式     

JOINT BEHAVIOUR OF PRECEDENCES AND EXCEEDANCES IN RANDOM THRESHOLD MODELS

This paper concerns the joint behaviour of precedence and exceedance statistics in random threshold models. Joint distributions of precedence and exceedance statistics, both exact and asymptotic, are obtained, and the results are illustrated for random thresholds based on order statistics and record values.     

Conditional Functional Principal Components Analysis

Abstract.  This work proposes an extension of the functional principal components analysis (FPCA) or Karhunen–Loève expansion, which can take into account non-parametrically the effects of an additional covariate. Such models can also be interpreted as non-parametric mixed effect models for functional data. We propose estimators based on kernel smoothers and a data-driven selection procedure of the smoothing parameters based on a two-step cross-validation criterion. The conditional FPCA is illustrated with the analysis of a data set consisting of egg laying curves for female fruit flies. Convergence rates are given for estimators of the conditional mean function and the conditional covariance operator when the entire curves are collected. Almost sure convergence is also proven when one observes discretized noisy sample paths only. A simulation study allows us to check the good behaviour of the estimators.     

多体交叉存储器等效存储体数的计算

对多体交叉存储器等效存储体数的计算进行了探讨 ,说明了多体交叉存储存在的问题 ,并指出了发展存储体系是非常必要的