消防战勤保障体系建设的思考

随着经济的发展,消防救援队伍承担的任务越来越繁重.重大灾害事故的发生,对消防战勤保障方面提出了更高的要求.文章主要从消防战勤保障的主要任务职能、消防战勤的任务分类以及消防战勤保障体系建设存在的问题与建议等几个方面进行了详细的阐述,以期消防战勤保障得到更好的发展.     

Logistic Regression Analysis of Customer Satisfaction Data

Variation exists in all processes. Significant work has been done to identify and remove sources of variation in manufacturing processes resulting in large returns for companies. However, business process optimization is an area that has a large potential return for a company. Business processes can be difficult to optimize due to the nature of the output variables associated with them. Business processes tend to have output variables that are binary, nominal or ordinal. Examples of these types of output include whether a particular event occurred, a customer's color preference for a new product and survey questions that assess the extent of the survey respondent's agreement with a particular statement. Output variables that are binary, nominal or ordinal cannot be modeled using ordinary least‐squares regression. Logistic regression is a method used to model data where the output is binary, nominal or ordinal. This article provides a review of logistic regression and demonstrates its use in modeling data from a business process involving customer feedback. Copyright © 2006 John Wiley & Sons, Ltd.     

Effect-Size Indices for Dichotomized Outcomes in Meta-Analysis.

It is very common to find meta-analyses in which some of the studies compare 2 groups on continuous dependent variables and others compare groups on dichotomized variables. Integrating all of them in a meta-analysis requires an effect-size index in the same metric that can be applied to both types of outcomes. In this article, the performance in terms of bias and sampling variance of 7 different effect-size indices for estimating the population standardized mean difference from a 2 × 2 table is examined by Monte Carlo simulation, assuming normal and nonnormal distributions. The results show good performance for 2 indices, one based on the probit transformation and the other based on the logistic distribution. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

文昌13-1-A9井酸化后含水上升分析及预测

文昌13-1-A9井酸化后综合含水达到54%,综合地质资料和油藏生产动态分析认为,导致文昌13-1-A9井酸化后含水上升加快的主要因素有:油水边界上升加快;酸化后渗透率提高,使油层与水体连通能力增强,加剧了边水的突进速度;酸化后采液指数提高,压降增大,导致底水锥进;油井位于油水过渡带内。在分析含水上升原因的基础上利用logistic模型对含水进行了预测,预测结果认为到2008年含水将达到80%以上。     

Coupling of dry matter and nitrogen accumulation in ryegrass

The logistic model has proven very useful in relating dry matter production of warm season perennial forage grasses to applied nitrogen. A recent extension of the model coupled dry matter and plant N accumulation through a common response coefficient c. The objective of this analysis was to apply the extended logistic model to cool season Gulf annual ryegrass (Lolium multiflorum Lam.) and to establish a common response coefficient c between accumulation of dry matter and plant N. Analysis of variance established the validity of this hypothesis. The model accurately described response of dry matter, plant N removal, and plant N concentration to applied N, with an overall correlation coefficient of 0.9954. Furthermore, the model closely described the relationship between yield and plant N removal, as well as between plant N concentration and plant N removal. The logistic equation is well-behaved and simple to use on a pocket calculator. It can be used to estimate yields and plant N removal in evaluation of agricultural production and environmental quality.     

Logistic模型的参数估计及人口预测

用数值微分和线性拟合化技术对Logistics模型进行了参数估计,由此检验了2005~2007年中国总人口数的误差情况,其中2007年用相关参考文献的等差参数估算方法所得结果的相对误差为5.58%,而本文参数估算所得结果的相对误差为0.114‰,预测取得了理想的效果.     

影响旅游者决策的相关情境因素分析——以大唐芙蓉园为例

以大唐芙蓉园为例,对以西安为旅游目的地的游客抽样调查,应用调查数据和LD—gistic模型分析了影响旅游者决策的17个情境变量。结果表明有6个情境变量和2个控制变量对旅游者决策影响显著。同时逐步具体分析这些变量对“游客是否游览大唐芙蓉园”的作用。最后讨论了研究结果的应用。     

基于图像子块DCT系数对的盲检测数字水印

提出一种新的基于Logistic加密的鲁棒性盲检测数字水印算法.利用Logistic映射特性产生的混沌序列加密生成水印序列;结合人眼的视觉系统(HVS)对原始图像中的子块进行选择;在每个被选择的子块上,根据鲁棒性要求选择DCT系数;通过对相邻系数对的大小进行比较嵌入水印.实验结果表明,本算法具有鲁棒性强、安全性高、透明性好、可以盲提取等特点,可有效用于数字媒体的版权保护.     

正则稀疏化的多因子量化选股策略

针对高维度数据集特征之间的复杂性,而传统的L1惩罚项不满足Oracle性质的无偏性,将逻辑回归弹性网（LR-Elastic Net）中的L1惩罚项替换为SCAD（Smoothly Clipped Absolute Deviation）和MCP（Minimax Concave Penalty）惩罚项,分别构建了LR-SCAD和LR-MCP模型,在保留稀疏性的同时满足了无偏性,并利用ADMM（Alternating Direction Method of Multipliers）算法进行求解。通过模拟实验发现,LR-Elastic Net模型能很好地处理特征存在相关性的小样本数据,而LR-SCAD和LR-MCP模型在特征存在相关性的大样本数据中表现较好;建立LR-Elastic Net、LR-SCAD和LR-MCP策略,并应用于沪深300指数成分股数据。回测结果显示,LR-SCAD和LR-MCP策略在股票相关性很强的数据中比LR-Elastic Net策略表现更好。     

重庆保税港区港口物流与区域经济协同发展研究

以系统协同理论为基础,以2008—2013年重庆保税港区港口物流和区域经济的相关数据为依托,构建协同度模型研究了两系统协同发展的情况。研究表明：重庆保税港区港口物流与区域经济是协同发展的,但协同发展程度整体偏低,重庆保税港区对区域经济的带动作用不强。据此,重庆保税港区应采取相关措施进一步拓展港口物流功能,促进两系统协同发展。