A GIS-based approach for estimating spatial distribution of seasonal temperature in Zhejiang Province,China

INTRODUCTION Spatial distribution estimates of meteorological data are becoming increasing important as inputs to spatially explicit landscape, regional, and global models. Interpolation is a common method translating for estimated spatial distribution of meteorological data that come from distantly scattered meteorologi- cal stations into raster data, which has benefits of simplicity and convenience. The choice of spatial interpolator is especially important in mountainous areas where dat…     

基于GIS的太白山植被与环境梯度关系分析

在GIS支持下,应用GIS空间分析功能,选取了年均温、年降水量、海拔、坡度和坡向5个环境影响因子,将各环境因子分别与太白山植被类型图叠加,并对不同植被分布与环境因子的关系进行统计分析。结果表明,灌丛草甸、太白红杉、巴山冷杉、桦林、栎林最适年均温度范围分别为-1．14℃-2．60℃、0．01℃-4．34℃、1．49℃-5．23℃、2．62℃-7．23℃、4．74℃-8．85℃最适年降水量范围为719．1-754．5mm、717．9-754．6mm、731．1-768．3mm、705．6—755．3mm、680．9—740．1mm;最适海拔范围为2659—3572m、2607—3454m、3334—3164m、1997—2840m、1412—2196in;在坡度上,各种植被大多较均匀地分布在斜坡、陡坡、险坡上;在坡向上,各植被类型主要分布在半阳坡和阳坡上。     

logistic回归模型在公司财务预警中的实证研究

本文采用logistic回归模型,分别从企业财务的四个方面选出了四个指标：股东权益比（偿债能力）、应收帐款周转率（营运能力）、总资产增长率（成长能力）、税前利润增长率（盈利能力）,利用SPSS软件,对上市公司的财务风险进行了研究。结果表明,由该指标建立的回归模型拟合效果非常好,同时也具有很好的预测准确度和实用推广性。     

Estimation method for mixed-effect coefficient semiparametric regression model

Consider the mixed-effect coefficient semiparametric regression modelZ=X'α+Y'β+g(T)+e, whereX, Y andT are random vectors onR ^p×R ^q×[0, 1], α is a p-dimensional fixed-effect parameter, β is a q-dimensional random-effect parameter (Eβ=b, Cov(β)=Σ),g(.) is an unknown function on [0, 1], e is a random error with mean zero and variance σ², and (X, Y, T) and (β,e), β ande are mutually independent. We estimate α,b andg(.) by the nearest neighbor and the least square method. In this paper, we prove that estimations of α,b have asymptotic normality and obtain the best convergence raten ^−1/3 for the estimation ofg(.). Project supported by the NSFC and the Natural Science Foundation of Zhejiang Province.     

回归分析在分析化学中的应用

本文归纳了回归分析在分析化学中的应用。     

计算机在一元回归分析中的应用

探讨了利用计算机进行一元回归分析的基本方法，设计了求一元回归预测模型的算法，并用QBASIC语言编写计算机程序。     

触发脑梗死危险因素的Logistic回归分析

目的：探讨与脑梗死急性发作有关的触发危险因素，为有效防治突发脑梗死提供依据。方法：采用病例对照研究方法对研究对象进行调查，应用非条件Logistic回归模型完成单因素及多因素分析。结果：多因素非条件Logistic逐步回归显示近期感染OR=7．52，TIA的OR=2．11，情绪波动OR=1．59和预防性治疗OR=0．15与脑梗死猝发有关联，其差别有统计学意义（P〈0.05）。结论：近期感染、TIA、情绪波动是触发脑梗死的独立危险因素，而预防性治疗则是保护因素之一。     

回归分析法在服装流行色预测中的应用

本文利用回归分析建立数学模型,从预测模型中得到服装流行要素的预测集合,再通过趋势分析得到合理的服装流行要素(流行趋势),最后,通过企业的服装辅助设计应用实例对该模型进行了验证,并提出近期最佳服装流行色。     

利用SPSS进行主成分回归分析

利用SPSS12.0forWindows的LinearRegression,FactorAnalysis和ComputeVariable等过程,结合线性回归和主成分分析的基本原理,介绍了多重共线性诊断、主成分回归分析过程和确定最佳方程的方法。     

基于多元线性回归分析的高等教育学费标准研究

通过分析我国高等教育的收费现状,运用灰色关联度法提取影响高等教育学费标准的主要因素,建立了它们与学费之间的多元线性回归关系模型,并给出了该模型在东部地区本科学校理科学费标准定价中的应用,分析和验证了模型的合理性与普适性．     

Decision-making in African universities demands rigorous data: Evidence from graduation rates at Eduardo Mondlane University in Mozambique

Graduation rate is often used as indicator of efficiency and accountability of higher education institutions. However, its official and academic use entails pitfalls, particularly in Sub-Saharan Africa (SSA). Based on evidence from Eduardo Mondlane University in Mozambique, this paper contributes to the academic and policy debate on graduation rates in SSA, by using logistic regression analysis to measure and explain this indicator. The paper’s findings are twofold: (i) graduation rates at UEM (and eventually in SSA) may be different from what their misleading measurement and usage may portray; (ii) graduation rates are particularly affected by the academic aspects of students and the institution. The paper claims that rigor is needed to produce data (e.g. graduation rates) on African universities to strategically inform decision-making.     

MATLAB在回归分析中的应用——以高中课程标准实验教材选修2-3为例

将MATLAB应用于高中数学回归分析的计算中,可以使回归分析的求解过程简单、直观,易于理解。从而实现教师与专业信息技术工作者的优势互补,推进现代信息技术与数学学科教学的整合。     

聚类分析和逐步回归法在车道流量预测中的综合应用

针对目前国内外大中城市中普遍存在的无检测器信号交叉口车道交通流信息难于获取的情况,基于信号控制交叉口车道之间的相关性,综合应用聚类分析和逐步回归法预测单点无检测器信号控制交叉口车道流量.首先应用聚类分析将单点无检测器信号控制交叉口的车道与有检测器信号控制交叉口的车道交通流量进行聚类,然后在聚类分析结果的基础上随机选取车道交通流量样本运用逐步回归法预测单点无检测器信号控制交叉口的车道流量,此方法经过南京市的具体车道流量数据验证.此类问题的解决,可广泛应用于城市交通流诱导系统以及交通控制系统.     

纵向数据下半参数模型估计的渐近正态性

考虑纵向数据半参数回归模型:Y=Xβ+g(T)+ε,基于最小二乘法和局部线性拟合的方法建立了模型中参数分量β,回归函数g(·)和误差方差σ2的估计量,并在适当条件下得到了它们的渐近正态性和最优收敛速度.     

Logistic regression for prediction and diagnosis of bacterial regrowth in water distribution system

This paper focuses on the quantitative expression of bacterial regrowth in water distribution system. Considering public health risks of bacterial regrowth, the experiment was performed on a distribution system of selected area. Physical, chemical, and microbiological parameters such as turbidity, temperature, residual chlorine and pH were measured over a three-month period and correlation analysis was carried out. Combined with principal components analysis (PCA), a logistic regression model is developed to predict and diagnose bacterial regrowth and locate the zones with high risks of microbiology in the distribution system. The model gives the probability of bacterial regrowth with the number of heterotrophic plate counts as the binary response variable and three new principal components variables as the explanatory variables. The veracity of the logistic regression model was 90%, which meets the precision requirement of the model.     

用回归分析方法研究单摆周期与幅角的关系

依据回归分析方法,计算多组实验所测单摆周期T与幅角θ数据的T~2θ和T2~θ2的几种拟合指标:剩余平方和Q,剩余标准差S,相关指数R2。比较各项拟合指标,得出单摆周期T与幅角θ的最佳线性拟合是T2~θ2拟合关系。     

Visual expression of factor decomposition in regression analysis: An example of Japanese housing rents

This paper presents the importance of the visual expression of factor decomposition in regression analysis, which is particularly worthwhile for undergraduate students whose majors are not mathematics but social science. The conventional purpose of regression analysis is to examine specific hypotheses empirically. In particular, the statistical significance of the explanatory variable was tested, which may have been difficult for many students to understand mathematically. To remedy this, factor decomposition is introduced in the same way that human body composition is broken down into water, fat, and muscle. As an illustrative example, multiple regression was applied to the determinants of housing rents in Japan. The explanatory variables were the living area, building age, and walking time from the nearest station. The findings suggest that, with the help of visual expression, a student can easily appreciate which variable significantly affects housing rents.     

基于逐步回归分析的上海会展业竞争力评价研究

上海的会展业持续发展。经济环境竞争力和旅游产业环境竞争力两个方面的因素影响了会展业竞争力。超大城市的会展业发展更取决于城市整体经济发展,而与旅游业相关较小。上海应继续发挥和强化经济环境竞争力优势;积极开拓外资渠道和形式;增强会展业与旅游业之间协调性;利用创新思想发展酒店业。     

基于旋转多基线摄影测量技术的滑坡监测精度分析

介绍了旋转多基线数字近景摄影测量系统的技术特点和具体的实施方案,提出了基于旋转多基线交向摄影方式进行一种无需二次控制的、非接触的、快速便捷的滑坡监测方法．通过对滑坡监测的关键流程阐述及现场试验,分析了不同摄站数、基高比和交会角对其精度的影响规律,实验证明了该方法的可行性,精度可以达到毫米级．     

Bayesian mapping of neural tube defects prevalence in Heshun County, Shanxi Province, China during 1998-2001

Objective： To estimate the prevalence rates of neural tube defects （NTDs） in Heshun County, Shanxi Province, China by Bayesian smoothing technique. Methods： A total of 80 infants in the study area who were diagnosed with NTDs were analyzed. Two mapping techniques were then used. Firstly, the GIS software ArcGIS was used to map the crude prevalence rates. Secondly, the data were smoothed by the method of empirical Bayes estimation. Results： The classical statistical approach produced an extremely dishomogeneous map, while the Bayesian map was much smoother and more interpretable. The maps produced by the Bayesian technique indicate the tendency of villages in the southeastern region to produce higher prevalence or risk values. Conclusions： The Bayesian smoothing technique addresses the issue of heterogeneity in the population at risk and it is therefore recommended for use in explorative mapping of birth defects. This approach provides procedures to identify spatial health risk levels and assists in generating hypothesis that will be investigated in further detail.