The potential of integrated modelling in conservation biology: A case study of the black‐footed albatross (Phoebastria nigripes)

Conservation biology aims at assessing the status of a population, based on information which is often incomplete. Integrated population modelling based on state‐space models appears to be a powerful and relevant way of combining into a single likelihood several types of information such as capture‐recapture data and population surveys. In this paper, the authors describe the principles of integrated population modelling and they evaluate its performance for conservation biology based on a case study, that of the black‐footed albatross, a northern Pacific albatross species suspected to be impacted by longline fishing     

悬置线交指型带通滤波器设计

介绍了悬置线交指型带通滤波器的设计原理和方法,利用计算机辅助设计工具进行数值计算,给出了悬置线的电路板尺寸参数,并应用仿真软件对该悬置线交指型带通滤波器进行仿真和优化设计, 通过仿真得到了该滤波器的响应曲线,与实验结果吻合的较好。     

HEAVY-TAILED-DISTRIBUTED THRESHOLD STOCHASTIC VOLATILITY MODELS IN FINANCIAL TIME SERIES

To capture mean and variance asymmetries and time‐varying volatility in financial time series, we generalize the threshold stochastic volatility (THSV) model and incorporate a heavy‐tailed error distribution. Unlike existing stochastic volatility models, this model simultaneously accounts for uncertainty in the unobserved threshold value and in the time‐delay parameter. Self‐exciting and exogenous threshold variables are considered to investigate the impact of a number of market news variables on volatility changes. Adopting a Bayesian approach, we use Markov chain Monte Carlo methods to estimate all unknown parameters and latent variables. A simulation experiment demonstrates good estimation performance for reasonable sample sizes. In a study of two international financial market indices, we consider two variants of the generalized THSV model, with US market news as the threshold variable. Finally, we compare models using Bayesian forecasting in a value‐at‐risk (VaR) study. The results show that our proposed model can generate more accurate VaR forecasts than can standard models.     

吉林省地区间经济力差距分析

按照Kuznets倒U字假说,我国实现经济高速增长过程中,由于区域经济增长的不平衡性,导致了地区间经济力差距的扩大。吉林省为了尽可能地缩小地区间经济力的差距,以便促进地区的均衡发展,应该在省内形成以信息和高速公路网络为基础的共同市场。     

网络安全与防火墙技术

防火墙是网络安全的关键技术 ,其核心思想是在不安全的网络环境中构造一个相对安全的子网环境。本文讨论了实现防火墙的主要技术手段 ,重点阐述了现行防火墙的功能、类型、安全措施以及防火墙技术的发展     

Missing data and forecasting in multivariate time series: An application of the common components dynamic linear model

Summary The paper deals with missing data and forecasting problems in multivariate time series making use of the Common Components Dynamic Linear Model (DLMCC), presented in Quintana (1985), and West and Harrison (1989). Some results are presented and discussed: exploiting the correlation between series, estimated by the DLMCC, the paper shows as it is possible to update state vector posterior distributions for the unobserved series. This is realized on the base of the updating of the observed series state vectors, for which the usual Kalman filter equations can be applied. An application concerning some Italian private consumption series provides an example of the model capabilities.     

Sampling Strategies for Toxic Air Contaminants

Annual concentrations of toxic air contaminants are of primary concern from the perspective of chronic human exposure assessment and risk analysis. Despite recent advances in air quality monitoring technology, resource and technical constraints often impose limitations on the availability of a sufficient number of ambient concentration measurements for performing environmental risk analysis. Therefore, sample size limitations, representativeness of data, and uncertainties in the estimated annual mean concentration must be examined before performing quantitative risk analysis. In this paper, we discuss several factors that need to be considered in designing field-sampling programs for toxic air contaminants and in verifying compliance with environmental regulations. Specifically, we examine the behavior of SO2, TSP, and CO data as surrogates for toxic air contaminants and as examples of point source, area source, and line source-dominated pollutants, respectively, from the standpoint of sampling design. We demonstrate the use of bootstrap resampling method and normal theory in estimating the annual mean concentration and its 95% confidence bounds from limited sampling data, and illustrate the application of operating characteristic (OC) curves to determine optimum sample size and other sampling strategies. We also outline a statistical procedure, based on a one-sided t-test, that utilizes the sampled concentration data for evaluating whether a sampling site is compliance with relevant ambient guideline concentrations for toxic air contaminants.     

人格结构的行为归类假设与中国人人格的文化意义

根据对中西方人格概念的词源和内涵的分析,人格内容可划分为四个不同层次,包括个体的外显行为、内心体验、动机和神经生理基础等四个方面,不同层次之间存在密切的交互关系;文化对人格的不同内容都会产生一定的影响,但影响的程度存在差异.由于对行为含义观察角度的不同造成了中西方人格结构的差异,人格结构的特点也是对文化意义的直接反映.以后的研究应关注文化对人格、行为和适应之间关系的影响.     

以情感教育促进英语教学

竞争激烈的21世纪对外语人才的素质提出了高层次的要求。通过对情感教育的认识和了解,体会情感教育的内涵和价值,进而分析英语教学中的情感性,指出情感教育与语言的情感性对英语教学的启示,揭示在英语教学中情感教育的重要性和必要性,从而促进学生外语素质的全面发展。     

An alternative to model selection in ordinary regression

The weaknesses of established model selection procedures based on hypothesis testing and similar criteria are discussed and an alternative based on synthetic (composite) estimation is proposed. It is developed for the problem of prediction in ordinary regression and its properties are explored by simulations for the simple regression. Extensions to a general setting are described and an example with multiple regression is analysed. Arguments are presented against using a selected model for any inferences.