测绘数据的自动处理与CAD自动绘制断面图

文章将CAD与Excel相结合,运用VBA语言编程,提出了一种自动处理测绘数据并自动在CAD中绘制断面图的方法,给出了程序的方框图和主程序。该方法可以判断断面数量,也可以判断是否有左或右断面的存在,并能自动写出桩号和中桩高程,根据断面的多少自动绘出图形。     

锌沸腾焙烧及其制酸工业中机电一体化技术的应用

讨论了机电一体化技术对于改变机械制造业面貌所起的作用,并说明其在锌冶金工业中的应用及发展趋势.     

Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients

The use of joint modelling approaches is becoming increasingly popular when an association exists between survival and longitudinal processes. Widely recognized for their gain in efficiency, joint models also offer a reduction in bias compared with naïve methods. With the increasing popularity comes a constantly expanding literature on joint modelling approaches. The aim of this paper is to give an overview of recent literature relating to joint models, in particular those that focus on the time‐to‐event survival process. A discussion is provided on the range of survival submodels that have been implemented in a joint modelling framework. A particular focus is given to the recent advancements in software used to build these models. Illustrated through the use of two different real‐life data examples that focus on the survival of end‐stage renal disease patients, the use of the JM and joineR packages within R are demonstrated. The possible future direction for this field of research is also discussed.     

Multiple imputation of incomplete zero‐inflated count data

Empirical count data are often zero‐inflated and overdispersed. Currently, there is no software package that allows adequate imputation of these data. We present multiple‐imputation routines for these kinds of count data based on a Bayesian regression approach or alternatively based on a bootstrap approach that work as add‐ons for the popular multiple imputation by chained equations (mice ) software in R (van Buuren and Groothuis‐Oudshoorn , Journal of Statistical Software, vol. 45, 2011, p. 1). We demonstrate in a Monte Carlo simulation that our procedures are superior to currently available count data procedures. It is emphasized that thorough modeling is essential to obtain plausible imputations and that model mis‐specifications can bias parameter estimates and standard errors quite noticeably. Finally, the strengths and limitations of our procedures are discussed, and fruitful avenues for future theory and software development are outlined.     

Disentangling the Role of Management Control Systems for Product and Process Innovation in Different Contexts

ABSTRACT

This paper studies the relationship between the use of management control systems and different types of innovation (product and process), taking into account innovation contexts (high-tech versus low-tech sectors). We develop and test our hypotheses based on a large sample of Spanish manufacturing firms and find that input controls have a positive association only with process innovation in both innovation contexts. Behavior controls have similar effects on both types of innovation outcomes for high-tech firms, while they have stronger positive associations with process than with product innovation for low-tech firms. Output controls are equally relevant for product and process innovation in both contexts.     

城市部件数据建库研究

本文在分析数字化城市部件空间数据及模型基础上,通过对基础地理信息数据的调用、单元网格的绘制、建库与更新机制等方面的介绍,探讨了数字化城市管理系统中基础数据的建立方法。     

面向生态产品的LCA数据管理信息系统的研究与开发

生命周期评价(LCA)作为ISO14000环境管理系列标准提出的一种环境管理思想和工具,在提高产品生态环境性能中获得越来越广泛的应用.为使LCA具有可操作性和简化,本文分析了国内外LCA数据库软件的不足.开发了具有开放性、可移植性、清单分析和影响评价相结合、可拓展性和定性定量评价相结合五大特点的LCA数据管理信息系统.     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.     

数据挖掘技术在客户关系管理(CRM)中的应用

首先介绍当今消费者的购物和消费心理,从而指出在零售业中的CRM应将重点放在哪些方面,最后介绍了DM在零售业中的CRM中的运用,就如何获取客户、客户保持及客户忠诚度方面与DM结合进行了阐述。